Tag Archives: 2020

Former Trump Aide Mark Meadows involved in ongoing voter fraud allegations

The former Trump chief of Staff has been “administratively removed” from the voter rolls in the state of North Carolina. 

Officials are currently investigating whether or not he was fraudulently registered to vote and cast a ballot for the 2020 presidential election. This comes as county election officials discovered he was registered in both North Carolina and Virginia. 

Meadows represented NC in Congress up until March 2020 when he went to work for Trump at the White House.  

Director for the Macon County Board of Elections, Melanie Thibault told CNN Meadows lived in Virginia and last voted in the 2021 election there. 

Records showed that Meadows last voted in Macon County, North Carolina for the 2020 general election via absentee by mail. The investigation shows that he registered to vote weeks before the 2020 election at a mobile home where Meadows and his wife never allegedly lived or visited as reported by CNN

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Biden Urged to Fire Entire USPS Board for Complicity in ‘Devastating Arson’ by Trump and DeJoy

This article originally appeared at Common Dreams. It is licensed under a Creative Commons Attribution-Share Alike 3.0 License. Feel free to republish and share widely.

Democratic Congressman Bill Pascrell, Jr. of New Jersey on Monday urged President Joe Biden to terminate all six sitting members of the U.S. Postal Service Board of Governors for their “silence and complicity” in the face of Postmaster General Louis DeJoy and former President Donald Trump’s full-scale assault on the beloved government mail agency.

“Through the devastating arson of the Trump regime, the USPS Board of Governors sat silent,” Pascrell wrote in a letter to Biden.

“Their dereliction cannot now be forgotten. Therefore, I urge you to fire the entire Board of Governors and nominate a new slate of leaders to begin the hard work of rebuilding our Postal Service for the next century.”

Bill Pascrell, Jr

While the president does not have the authority under current law to fire DeJoy—a Republican megadonor to Trump who was unanimously appointed by the USPS Board of Governors last May—Biden does have the power to remove postal governors “for cause.” At present, the board consists entirely of Trump appointees—two Democrats and four Republicans.

Pascrell argued Monday that “the board members’ refusal to oppose the worst destruction ever inflicted on the Postal Service was a betrayal of their duties and unquestionably constitutes good cause for their removal.”

Election season chaos comes back to haunt

Far from opposing DeJoy’s sweeping operational changes—which resulted in massively disruptive, nationwide mail delays that persisted through the November election and holiday season—USPS governors publicly praised the postmaster general, with one Republican board member gushing in September that “the board is tickled pink, every single board member, with the impact” DeJoy was having on the agency.

That glowing assessment of DeJoy’s performance during his first several months on the job did not comport with the experiences of postal workers—who in some cases resisted DeJoy’s policies—or the agency’s own internal evaluations, which showed that widespread delays followed the postmaster general’s changes.

DeJoy put his damaging policy moves on hold in August amid nationwide outrage and accusations that he was working to disrupt the election for Trump’s benefit. With the presidential election now in the past, DeJoy has recently signaled he plans to push ahead with his agenda.

In his letter to Biden, Pascrell wrote that the “continued challenges in preserving our Postal Service to survive and endure are gargantuan, and so demand bold solutions to meet them.”

“To begin that work,” Pascrell added, “we must have a governing body that can be trusted to represent the public interest.”

There are currently four vacancies in top leadership positions at USPS, including three governor spots and the deputy postmaster general role. If Biden fills the remaining vacancies—USPS governors must be confirmed by the Senate—Democrats will have a majority on the board and potentially the votes needed to remove DeJoy from office.

“Trump confessed he was wrecking USPS to rig the election. His toady Postmaster General DeJoy carried out that arson. It’s time to clean house,”

Pascrell tweeted Monday. “DeJoy should be fired but also prosecuted.”

Asked about Pascrell’s demand during a briefing on Monday, White House Press Secretary Jen Psaki said, “It’s an interesting question.”

“We all love the mailman and mailwoman,” said Psaki. “I don’t have anything for you on it. I’m happy to check with our team on it and see if we have any specifics. I’m not aware of anything, but we’ll circle back with you.”


Read Pascrell’s full letter:

Dear President Biden:

After several years of unprecedented sabotage, the United States Postal Service (USPS) is teetering on the brink of collapse. Through the devastating arson of the Trump regime, the USPS Board of Governors sat silent. Their dereliction cannot now be forgotten. Therefore, I urge you to fire the entire Board of Governors and nominate a new slate of leaders to begin the hard work of rebuilding our Postal Service for the next century.

According to a report by the USPS Office of Inspector General, operational changes imposed by Postmaster General Louis DeJoy “negatively impacted the quality and timeliness of mail service nationally” and were “implemented quickly and communicated primarily orally,” resulting in confusion and inconsistent application across the country. As DeJoy’s efforts to dismantle mail sorting machines, cut overtime, restrict deliveries, and remove mailboxes slowed mail nationally, Donald Trump himself openly admitted that his administration was withholding funding for the Postal Service in order to make it harder to process mail-in ballots.

Things became so bad that on August 14, 2020, I filed a complaint with our state’s Attorney General calling on him to seek indictments against your predecessor and the Postmaster General for election subversion. Postal operations have continued to severely lag benchmark levels under DeJoy and this slate of Governors. This holiday season, USPS reported an unprecedented level of mail disruption, with only 64 percent of first-class mail delivered on time in late December. Through it all, the Governors were either silent or in support of DeJoy’s havoc.

The members of the USPS Board of Governors have but one central responsibility: “represent[ing] the public interest.” Members may be removed by the President “only for cause.” The board members’ refusal to oppose the worst destruction ever inflicted on the Postal Service was a betrayal of their duties and unquestionably constitutes good cause for their removal.

As America’s perhaps most enduringly trusted institution, a central economic and social engine for every community in America, and a vital vanguard of the democratic tradition, the Post Office must play an essential role in our national life for generations to come. The continued challenges in preserving our Postal Service to survive and endure are gargantuan, and so demand bold solutions to meet them. To begin that work, we must have a governing body that can be trusted to represent the public interest. Thank you for your continued dedication to saving our Post Office.

Sincerely,

Bill Pascrell, Jr.

Member of Congress


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82% of US Voters Believe Inflation Is Fueled by Corporations ‘Jacking Up Prices’

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New survey data shows that voters “want elected officials to challenge corporate greed to lower prices,” said one advocate.

On the heels of fresh data showing that the U.S. inflation rate jumped to a new 40-year high last month, a new survey found that more than 80% of American voters believe costs are rising in part because “big corporations are jacking up prices” while raking in record profits.

Released Friday by the advocacy group Fight Corporate Monopolies, the poll showed that 82% of registered U.S. voters blame big companies for at least some of the recent inflation spike and want elected officials to “take on powerful CEOs and rein in corporate greed to lower prices.”

“Rising prices is the top economic issue for most voters, and they want elected officials to challenge corporate greed to lower prices,” Helen Brosnan, executive director of Fight Corporate Monopolies, said in a statement. “Political leaders should directly address rising prices, release plans to combat corporate greed’s role in driving prices higher, and put forth arguments that center CEOs and big corporations.”

The new survey, based on a sample size of 1,000 respondents, comes as progressives in Congress continue spotlighting corporate price-gouging as a key culprit behind rising prices nationwide even as the White House abandons that narrative, despite data indicating it resonates with voters.

With gas prices surging amid Russia’s onslaught against Ukraine, Democrats in the House and Senate introduced legislation on Thursday that would impose a “windfall tax” on oil companies in an effort to “curb profiteering.”

“Last year, oil and gas companies made $174 billion in profits,” Sen. Bernie Sanders (I-Vt.), a co-sponsor of the legislation, wrote in a Twitter post. “This year they’re on track to make more. We cannot allow Big Oil to use Ukraine and ‘inflation’ as an excuse to rip off Americans.”

Originally published on Common Dreams by JAKE JOHNSON and republished under a Creative Commons (CC BY-NC-ND 3.0)

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Elon Musk and Jack Dorsey vs. Warren Buffett and the Status Quo

Above: Photo Collage Lynxotic – various

Bitcoin and Crypto’s reached a major turning point: why is cryptocurrency worth anything?

In a recent interview clip Jack Dorsey quietly states his opinion on the difference between people who “get” blockchain and crypto, and those that will forever be married to the past:

watch:

This is the simply stated portion that says it all:

“People who have questions in the world, people who have curiosity (and are) recognizing that the current systems, wether they be corporate financial systems or the government financial systems just aren’t working for them…”

Although the context of his statement is regarding bitcoin as the native currency for the internet, and in particular how people are responding to the fact that financial systems “just aren’t working for them” it is, nevertheless, a perfect statement of how the world is changing.

It has already changed into two distinct groups: those that are clinging to the status quo, since it has worked very well for them, and those that want to find a new and better way, because, in most cases, the current system did not work for them.

It’s important to realize that this statement is not coming from a disgruntled outsider, but from the hugely successful founder of Square, now called Block.

The fact that a large group of highly successful business leaders, such as Jack Dorsey and Elon Musk, although benefiting massively from the current financial systems, are at the same time embracing a new way of thought and action for the future, is at the crux of the issues addressed in this post.

Buffet vs Musk & Dorsey and the zero sum mindset of Malthusian Capitalism

There is a war waging between those that are open to, and welcoming of, bitcoin, crypto, blockchain, DeFi and other new financial innovations and those that reject all of it and would like nothing more than to see it stopped, by any means necessary.

The derision, insults and disdain lobbed at bitcoin, crypto and anyone that believes in them, by the “old guard” epitomized by Warren Buffet and Charlie Munger are now well known and documented:

A few quotes:

“Probably rat poison squared.” — Warren Buffett in Fox Business interview at 2018 meeting

“I think I should say modestly that the whole damn development is disgusting and contrary to the interests of civilization” – Charlie Munger vice chairman at Berkshire Hathaway

“I certainly didn’t invest in crypto. I’m proud of the fact I’ve avoided it. It’s like a venereal disease or something. I just regard it as beneath contempt.” – Charlie Munger vice chairman at Berkshire Hathaway

Interestingly, if you look deeper at the interviews and quotes, you’d see that, in spite of the headline grabbing hyperbole, it’s the price speculation that is at the heart of the criticism.

The comments that crypto and bitcoin “don’t produce anything” are ridiculous on their face, as if the fiat dollar “produces” products, services or anything else.

Oh, wait, the dollar does “produce” inflation (loss in value), and has done so very dependably over the last 100+ years.

Take a stat so well known that it is almost a cliché, any way you put it: a 2013 U.S. dollar (the year the federal reserve was created, not coincidentally) would be worth more than 16x what a dollar is worth today. One has to ask where that value is now?

Bitcoin, however, has over time only gained value. A lot. If bitcoin is rat poison, maybe the fiat system and the federal reverse are the rat?

100 year old billionaires are, aparently, not inclined to speak from enlightened self-interest. Or, to be kind, perhaps they are blinded by the success they enjoyed in a system that favors anyone at the top of the pyramid, one built on value theft?

One very big caveat, however, is clearly that the “everything bubble” is bursting, price speculation always ends in price crashes, and the massive gains in the value of various cryptocurrencies are a symptom of a larger systemic emergency, rather than a quality inherent to crypto itself. There’s that.

The gap between this kind of thinking vs. that of the forward looking cryptocurrency proponents, and what they consider to be positive innovations, is vast. In a time where divisive thought is nearly ubiquitous this is not news.

However, the fact that the legions of those that “get it” are as large as they are, and that they are constantly growing, has clearly taken the debate past the point of no return.

To get the full view of this divide it’s important to look also at just how the nearly 100 year old duo of Buffet & Munger got to be the “legends” that they are.

All the best known names they are associated with, from the initial Berkshire Hathaway purchase in 1962 to more recent investments in companies such as CocaCola, GEICO Insurance, RJ Reynolds Tobacco, Sees Candy, Clayton Homes and so on, paint a clear picture of extreme hierarchal and exploitative capitalism that is solely based on making themselves and shareholders rich, and doing it on the backs of consumers.

In an example of the thinking of those that do not worship the duo, in The Nation, David Dayen wrote: “America isn’t supposed to allow moats, much less reward them. Our economic system, we claim, is founded on free and fair competition. We have laws over a century old designed to break up concentrated industries, encouraging innovation and risk-taking. In other words, Buffett’s investment strategy should not legally be available, to him or anyone else.”

Exactly this kind of double standard, corrupt to the core, is built on systemic greed founded on a Malthusian “zero-sum mindset”. This is what has led millions to conclude that the system just isn’t working for them.

Being championed ad nausea for this lifetime of “achievement” is part and parcel of the status quo that many, from many in the 99% to the “nouveau 1%”, such as Elon Musk, Jack Dorsey, Vitalik Buterin and many others, are actively seeking alternatives to.

That distinction, being rich and powerful and yet not satisfied with the legacy of corruption and greed, is at the heart of the new wave of thought that has made bitcoin, crypto and DeFi a force to be reckoned with.

Moreover, seeing the state of the world that centuries of this kind of thinking has engendered, it’s natural for the young and more enlightened to want to search for other ways for things to work, ways that perhaps champion something other than monopolistic greed and exploitation.

In a recent Interview Elon Musk addressed precisely this issue – how many in the current system are focused on prospering at the expense of others and maintaining a zero-sum mindset. In the clip he outlines how important it is to understand the failure of that approach.

watch:

The idea that crypto will disappear is wishful thinking by those that cling to the systems of the past

A clip of Harrison Ford speaking at the Global Climate Action Summit was banned on some platforms as incendiary. Why? Because he passionately accuses those that are financially linked to fossil fuels of working to spread disinformation and misinformation, in order to perpetuate their massive incomes, even while the planet is on the brink of climate disaster.

Blocking this opinion, from a rich and famous film star, no less, is typical in the way that the established system works to suppress the idea that you should do anything about the fact that “it’s just not working” for you.

This is the same divide, mentioned above, that is nearly all pervasive today, but will never stop innovation in thinking about financial systems. It will not stop DeFi or DAOs or crypto or bitcoin.

It will not stop sustainable energy from becoming an ever bigger part of the world’s energy infrastructure. The point of going back has long since passed.

How money works according to Musk

Jack Dorsey has an understated and somehow “quiet” way of expressing revolutionary ideas. Elon Musk, on the other hand, is well known for controversial and flamboyant statements, and especially tweets.

But to get a taste of just how radical his thinking really is, particularly to those that disagree, you have to dig deeper into lengthy interviews, such as those with Lex Fridman, where he reveals his thinking more specifically on money, crypto and the governments role in the system of money.

watch:

Coming from the wealthiest person on earth, some may find it odd, yet his thoughts on crypto vs fiat money are well documented. It’s just this kind of stance, taken by so many in the “new” establishment at the top of the current financial pyramid, who also see the necessity for change toward new ideas and systems that can so away with the worst of the status quo, well represented above by Buffet & Munger and other “crypto haters”.

Government is a corporation in the limit

In yet another interview excerpt, Musk goes even deeper into his belief that – in his exact words: “if you don’t like corporations should really hate governments”

watch:

While this particular statement arose out of a spat with Senator Elizabeth Warren regarding taxes, the overall concept of challenging the status quo and the, clearly failed, systems perpetuated, remains in play.

Web3, and how Web2 and legacy financial structures are linked

Although fraught with infighting – the typical bitcoin vs. Ethereum vs. Doge vs. Shiba Inu internal debates and criticisms are not on the magnitude of the division between those that generally support and benefit from, for example, status quo financial structure and fossil fuel business, vs those that favor Blockchain and Sustainable energy.

Further, the spirit of the clash between Web2 and Web3 rests not on the tech or the systems themselves, which it can be argued are the same, but on the beliefs and intent of each camp.

The surveillance capitalism business models of web2, epitomized by Facebook and Google are diametrically opposed to the spirit and stated goals of web3, just as bitcoin was created out of a time that, not coincidentally, corresponded to the 2008 crash and crisis born of the greed and corruption of the legacy economic establishment.

There are two distinct camps that have emerged.

Those, such as Tesla and Elon Musk, that reject the traditional holy grail of shareholder value and instead embrace, for example, a more enlightened mission “to accelerate the transition to sustainable energy”. This aligns with any individual choosing the support crypto as a “Hodler” or at least believer, vs. those that support the legacy systems of finance, the fossil fuel industrial complex and Web2’s exploitative business model.

This divide is the ultimate test of our time and it will only grow in stature and importance.

The correspondence between forward looking innovation in all human thought, communication and action is already too big to stop and cannot be wished away.

There will undoubtedly be setbacks to these new directions, and there will be attacks using more than insults, such as those quoted above, but the time for the unstoppable force to be quelled is long since past. Coke and a smile? No thanks.

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House Committee Issues Subpoena to Top Trump Fundraiser Kimberly Guilfoyle

Above: Photo /Collage – Lynxotic / Pro Publica

The U.S. House of Representatives select committee investigating the Jan. 6 attack on the Capitol issued a subpoena on Thursday to Kimberly Guilfoyle, a top fundraiser for former President Donald Trump and the fiancee of his son, Donald Trump Jr.

The subpoena cites a text message Guilfoyle sent to former Trump campaign adviser Katrina Pierson, in which Guilfoyle claims to have raised millions of dollars for the rally that preceded the Capitol riot. The text exchange was first reported in November by ProPublica.

In the text, Guilfoyle wrote that she “raised so much money for this. Literally one of my donors Julie at 3 million.” She was referring to Julie Jenkins Fancelli, a Publix supermarket heir and the biggest known funder for the Jan. 6 rally. Fancelli previously did not respond to ProPublica requests for comment on the matter.

The subpoena, which seeks to force Guilfoyle to hand over documents and appear for a deposition, also stated that she “communicated with others” about the speaking lineup for the Jan. 6 rally and met with Trump and members of his family in the Oval Office that morning.

Guilfoyle is the first member of the Trump family circle to be subpoenaed by the select committee. Guilfoyle and Trump Jr. announced their engagement in January. She was appointed national chair of the Trump Victory finance committee in January 2020 and was put at the helm of the former president’s super PAC last fall.

The subpoena is another indication that the committee is becoming increasingly aggressive in its investigation into the Capitol attack. In documents filed in a civil case in a California district court on Wednesday, the committee said for the first time that it had evidence that could potentially lead to criminal charges against the former president for his actions leading up to the Jan. 6 attack, including obstructing an official proceeding of Congress and conspiracy to defraud the United States. The committee would refer any potential criminal charge to the Justice Department to decide whether to prosecute. Trump has denied any wrongdoing.

The step comes almost a week after Guilfoyle walked out of a meeting with the committee after initially agreeing to answer questions about the events of Jan. 6. According to a statement from her lawyer last week, Guilfoyle left the meeting because she was concerned members of the committee would leak information from the interview to the press.

In September, citing ProPublica reporting, the committee sent subpoenas to Pierson and Caroline Wren, a Republican fundraiser who served as Guilfoyle’s deputy during the 2020 campaign. The committee subsequently issued subpoenas to threecloseadvisers to Trump Jr. and Guilfoyle.

In a statement, Joe Tacopina, Guilfoyle’s attorney, said the subpoena was a politically motivated abuse of power and that Guilfoyle will answer questions truthfully. “She has done nothing wrong,” he said. In November, Tacopina said the texts to Pierson were not about the Jan. 6 rally and threatened to “aggressively pursue all legal remedies available” against ProPublica. At the time, Pierson declined to comment and Trump Jr. did not respond to emailed questions.

ProPublica previously reported that Wren told another rally organizer that she raised $3 million for the Jan. 6 rally and “parked” the funds in several dark money organizations.

Wren previously sent a statement to ProPublica from her attorney that did not address how much money was raised for the rally or how it was spent, but stated that to her “knowledge, Kimberly Guilfoyle had no involvement in raising funds for any events on January 6th.”

Guilfoyle developed a professional relationship with Fancelli during the 2020 campaign, according to documents obtained by ProPublica, and Fancelli donated $250,000 to Trump Victory shortly after receiving a call from Guilfoyle.

ProPublica is a Pulitzer Prize-winning investigative newsroom. Sign up for The Big Story newsletter to receive stories like this one in your inbox.Series: The Insurrection The Effort to Overturn the Election

Originally published on ProPublica by Joaquin Sapien and Joshua Kaplan and republished under a Creative Commons License (CC BY-NC-ND 3.0)

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House January 6 Panel Accuses Trump of ‘Criminal Conspiracy to Defraud’ US

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The committee alleges that Trump and his allies engaged in a “corrupt scheme to obstruct the counting of Electoral College ballots and a conspiracy to impede the transfer of power.”

The House select committee investigating the January 6 insurrection at the U.S. Capitol said in a federal court filingWednesday that former President Donald Trump and his campaign allies committed crimes as they attempted to overturn the results of the 2020 election.

While it is not conducting a criminal investigation and does not have the power to bring charges on its own, the House panel told the U.S. District Court in the Central District of California that lawmakers have “a good-faith basis for concluding that the president and members of his campaign engaged in a criminal conspiracy to defraud the United States in violation of 18 U.S.C. § 371.”

The Justice Department is currently investigating the January 6 attack and has charged more than 225 people for taking part, but it “has not given any indication that it is considering seeking charges against Trump,” the Associated Press notes.

The House committee’s filing was submitted in response to a lawsuit by former Trump lawyer John Eastman, who is fighting the panel’s request for thousands of emails related to efforts to pressure former Vice President Mike Pence to unilaterally scrap electoral votes from states President Joe Biden won.

Eastman has cited attorney-client privilege to justify withholding the emails from the select committee, but the panel’s filing argues that the documents Eastman is shielding are not privileged.

“Communications in which a ‘client consults an attorney for advice that will serve him in the commission of a fraud or crime’ are not privileged from disclosure,” the filing states. “The evidence supports an inference that President Trump, [Eastman], and several others entered into an agreement to defraud the United States by interfering with the election certification process, disseminating false information about election fraud, and pressuring state officials to alter state election results and federal officials to assist in that effort.”

The filing points specifically to an email it obtained showing that Eastman urged Pence’s lawyer to violate the law in an attempt to block congressional certification of Trump’s electoral loss.

“I implore you to consider one more relatively minor violation [of the Electoral Count Act] and adjourn for 10 days to allow the legislatures to finish their investigations, as well as to allow a full forensic audit of the massive amount of illegal activity that has occurred here,” Eastman wrote to Pence attorney Greg Jacob on the night of January 6, 2021.

In a statement late Wednesday, select committee chair Rep. Bennie Thompson (D-Miss.) and vice chair Rep. Liz Cheney (R-Wyo.) said the panel’s filing “refutes on numerous grounds the privilege claims Dr. Eastman has made to try to keep hidden records critical to our investigation.”

“Dr. Eastman’s privilege claims raise the question whether the crime-fraud exception to the attorney-client privilege applies in this situation,” the lawmakers wrote. “We believe evidence in our possession justifies review of these documents under this exception in camera. The facts we’ve gathered strongly suggest that Dr. Eastman’s emails may show that he helped Donald Trump advance a corrupt scheme to obstruct the counting of Electoral College ballots and a conspiracy to impede the transfer of power.”

Trump and his former aides have sought to impede the select committee’s investigation at every turn, obstructing the panel’s efforts to obtain White House documents—which the former president was notorious for destroying—and testimony from key witnesses.

Last month, the U.S. Supreme Court formally ended Trump’s attempt to prevent the committee from examining more than 700 pages of White House records related to the January 6 attack.

Originally published on Common Dreams by JAKE JOHNSON and republished under a Creative Commons license (CC BY-NC-ND 3.0).

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Leaked Facebook Documents Reveal How Company Failed on Election Promise

CEO Mark Zuckerberg had repeatedly promised to stop recommending political groups to users to squelch the spread of misinformation

Leaked internal Facebook documents show that a combination of technical miscommunications and high-level decisions led to one of the social media giant’s biggest broken promises of the 2020 election—that it would stop recommending political groups to users.

The Markup first revealed on Jan. 19 that Facebook was continuing to recommend political groups—including some in which users advocated violence and storming the U.S. Capitol—in spite of multiple promises not to do so, including one made under oath to Congress

The day the article ran, a Facebook team started investigating the “leakage,” according to documents provided by Frances Haugen to Congress and shared with The Markup, and the problem was escalated to the highest level to be “reviewed by Mark.” Over the course of the next week, Facebook employees identified several causes for the broken promise.

The company, according to work log entries in the leaked documents, was updating its list of designated political groups, which it refers to as civic groups, in real time. But the systems that recommend groups to users were cached on servers and users’ devices and only updated every 24 to 48 hours in some cases. The lag resulted in users receiving recommendations for groups that had recently been designated political, according to the logs.

That technical oversight was compounded by a decision Facebook officials made about how to determine whether or not a particular group was political in nature.

When The Markup examined group recommendations using data from our Citizen Browser project—a paid, nationwide panel of Facebook users who automatically supply us data from their Facebook feeds—we designated groups as political or not based on their names, about pages, rules, and posted content. We found 12 political groups among the top 100 groups most frequently recommended to our panelists. 

Facebook chose to define groups as political in a different way—by looking at the last seven days’ worth of content in a given group.

“Civic filter uses last 7 day content that is created/viewed in the group to determine if the group is civic or not,” according to a summary of the problem written by a Facebook employee working to solve the issue. 

As a result, the company was seeing a “12% churn” in its list of groups designated as political. If a group went seven days without posting content the company’s algorithms deemed political, it would be taken off the blacklist and could once again be recommended to users.

Almost 90 percent of the impressions—the number of times a recommendation was seen—on political groups that Facebook tallied while trying to solve the recommendation problem were a result of the day-to-day turnover on the civic group blacklist, according to the documents.

Facebook did not directly respond to questions for this story.

“We learned that some civic groups were recommended to users, and we looked into it,” Facebook spokesperson Leonard Lam wrote in an email to The Markup. “The issue stemmed from the filtering process after designation that allowed some Groups to remain in the recommendation pool and be visible to a small number of people when they should not have been. Since becoming aware of the issue, we worked quickly to update our processes, and we continue this work to improve our designation and filtering processes to make them as accurate and effective as possible.”

Social networking and misinformation researchers say that the company’s decision to classify groups as political based on seven days’ worth of content was always likely to fall short.

“They’re definitely going to be missing signals with that because groups are extremely dynamic,” said Jane Lytvynenko, a research fellow at the Harvard Shorenstein Center’s Technology and Social Change Project. “Looking at the last seven days, rather than groups as a whole and the stated intent of groups, is going to give you different results. It seems like maybe what they were trying to do is not cast too wide of a net with political groups.”

Many of the groups Facebook recommended to Citizen Browser users had overtly political names.

More than 19 percent of Citizen Browser panelists who voted for Donald Trump received recommendations for a group called Candace Owens for POTUS, 2024, for example. While Joe Biden voters were less likely to be nudged toward political groups, some received recommendations for groups like Lincoln Project Americans Protecting Democracy.

The internal Facebook investigation into the political recommendations confirmed these problems. By Jan. 25, six days after The Markup’s original article, a Facebook employee declared that the problem was “mitigated,” although root causes were still under investigation.

On Feb. 10, Facebook blamed the problem on “technical issues” in a letter it sent to U.S. senator Ed Markey, who had demanded an explanation.

In the early days after the company’s internal investigation, the issue appeared to have been resolved. Both Citizen Browser and Facebook’s internal data showed that recommendations for political groups had virtually disappeared.

But when The Markup reexamined Facebook’s recommendations in June, we discovered that the platform was once again nudging Citizen Browser users toward political groups, including some in which members explicitly advocated violence.

From February to June, just under one-third of Citizen Browser’s 2,315 panelists received recommendations to join a political group. That included groups with names like Progressive Democrats of Nevada, Michigan Republicans, Liberty lovers for Ted Cruz, and Bernie Sanders for President, 2020.

This article was originally published on The Markup By: Todd Feathers and was republished under the Creative Commons Attribution-NonCommercial-NoDerivatives license (CC BY-NC-ND 4.0).

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‘No Time To Die’: Streaming is live for the newest 007 James Bond Movie

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The final film featuring actor Daniel Craig playing the iconic role of James Bond is now available to watch as a theatrical release worldwide. The current box office hit marks the 5th and final round Craig has made for the franchise.

While the previous standard has recently been that, after 45 days into the theatrical release, streaming options were finally made available, this time, just a little over a month after the premiere we now have the ability to rent the Bond film through video-on-demand (VOD) via retailers including Amazon Prime Video, Vudu and Apple TV+ for $19.99.

The movie can be streamed in up to 4K quality with high dynamic range.

If you haven’t got caught up with all the previous Bond movies that feature Daniel Craig, you can also have a binge on Amazon Prime video and watch “Skyfall“. “Casino Royal” (Free with subscription), “Quantum of Solace” (Free with subscription) and “Spectre”

No Time To Die

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Facebook Isn’t Telling You How Popular Right-Wing Content Is on the Platform

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Facebook insists that mainstream news sites perform the best on its platform. But by other measures, sensationalist, partisan content reigns

In early November, Facebook published its Q3 Widely Viewed Content Report, the second in a series meant to rebut critics who said that its algorithms were boosting extremist and sensational content. The report declared that, among other things, the most popular informational content on Facebook came from sources like UNICEF, ABC News, or the CDC.

But data collected by The Markup suggests that, on the contrary, sensationalist news or viral content with little original reporting performs just as well as—and often better than—many mainstream sources when it comes to how often it’s seen by platform users.

Data from The Markup’s Citizen Browser project shows that during the period from July 1 to Sept. 30, 2021, outlets like The Daily Wire, The Western Journal, and BuzzFeed’s viral content arm were among the top-viewed domains in our sample. 

Citizen Browser is a national panel of paid Facebook users who automatically share their news feed data with The Markup.

To analyze the websites whose content performs the best on Facebook, we counted the total number of times that links from any domain appeared in our panelists’ news feeds—a metric known as “impressions”—over a three-month period (the same time covered by Facebook’s Q3 Widely Viewed Content Report). Facebook, by contrast, chose a different metric, calculating the “most-viewed” domains by tallying only the number of users who saw links, regardless of whether each user saw a link once or hundreds of times.

By our calculation, the top performing domains were those that surfaced in users’ feeds over and over—including some highly partisan, polarizing sites that effectively bombarded some Facebook users with content. 

These findings chime with recent revelations from Facebook whistleblower Frances Haugen, who has repeatedly said the company has a tendency to cherry-pick statistics to release to the press and the public. 

“They are very good at dancing with data,” Haugen told British lawmakers during a European tour.

When presented with The Markup’s findings and asked whether its own report’s statistics might be misleading or incomplete, Ariana Anthony, a spokesperson for Meta, Facebook’s parent company, said in an emailed statement, “The focus of the Widely Viewed Content Report is to show the content that is seen by the most people on Facebook, not the content that is posted most frequently. That said, we will continue to refine and improve these reports as we engage with academics, civil society groups, and researchers to identify the parts of these reports they find most valuable, which metrics need more context, and how we can best support greater understanding of content distribution on Facebook moving forward.”

Anthony did not directly respond to questions from The Markup on whether the company would release data on the total number of link views or the content that was seen most frequently on the platform.

The Battle Over Data

There are many ways to measure popularity on Facebook, and each tells a different story about the platform and what kind of content its algorithms favor. 

For years, the startup CrowdTangle’s “engagement” metric—essentially measuring a combination of how many likes, comments, and other interactions any domain’s posts garner—has been the most publicly visible way of measuring popularity. Facebook bought CrowdTangle in 2016 and, according to reporting in The New York Times, has since largely tried to downplay data showing that ultra-conservative commentators like The Daily Wire’s Ben Shapiro produce the most engaged-with content on the platform. 

Shortly after the end of the second quarter of this year, Facebook came out with its first transparency report, framed in the introduction as a way to “provide clarity” on “the most-viewed domains, links, Pages and posts on the platform during the quarter.” (More accurately, the Q2 report was the first publicly released transparency report, after a Q1 report was, The New York Times reported, suppressed for making the company look bad and only released later after details emerged.)

For the Q2 and Q3 reports, Facebook turned to a specific metric, known as “reach,” to quantify most-viewed domains. For any given domain, say youtube.com or twitter.com, reach represents the number of unique Facebook accounts that had at least one post containing a link to a tweet or a YouTube video in their news feeds during the quarter. On that basis, Facebook found that those domains, and other mainstream staples like Amazon, Spotify, and TikTok, had wide reach.

When applying this metric, The Markup found similar results in our Citizen Browser data, as detailed in depth in our methodology. But this calculation ignores a reality for a lot of Facebook users: bombardment with content from the same site.

Citizen Browser data shows, for instance, that from July through September of this year, articles from far-right news site Newsmax appeared in the feed of a 58-year-old woman in New Mexico 1,065 times—but under Facebook’s calculation of reach, this would count as one single unit. Similarly, a 37-year-old man in New Hampshire was shown 245 unique links to satirical posts from The Onion, which appeared in his feed more than 500 times—but again, he would have been counted just once by Facebook’s method.

When The Markup instead counted each appearance of a domain on a user’s feed during Q3—e.g., Newsmax as 1,065 instead of 1—we found that polarizing, partisan content jumped in the performance rankings. Indeed, the same trend is true of the domains in Facebook’s Q2 report, for which analysis can be found in our data repository on GitHub.

We found that outlets like The Daily Wire, BuzzFeed’s viral content arm, Fox News, and Yahoo News jumped in the popularity rankings when we used the impressions metric. Most striking, The Western Journal—which, similarly to The Daily Wire, does little original reporting and instead repackages stories to fit with right-wing narratives—improved its ranking by almost 200 places.

“To me these findings raise a number of questions,” said Jane Lytvynenko, senior research fellow at the Harvard Kennedy School Shorenstein Center. 

“Was Facebook’s research genuine, or was it part of an attempt to change the narrative around top 10 lists that were previously put out? It matters a lot whether a person sees a link one time or if they see it 20 times, and to not account for that in a report, to me, is misleading,” Lytvynenko said.

Using a narrow range of data to gauge popularity is suspect, said Alixandra Barasch, associate professor of marketing at NYU’s Stern School of Business.

“It just goes against everything we teach and know about advertising to focus on one [metric] rather than the other,” she said. 

In fact, when it comes to the core business model of selling space to advertisers, Facebook encourages them to consider yet another metric, “frequency”—how many times to show a post to each user on average—when trying to optimize brand messaging.

Data from Citizen Browser shows that domains seen with high frequency in the Facebook news feed are mostly news domains, since news websites tend to publish multiple articles over the course of a day or week. But Facebook’s own content report does not take this data into account.

“[This] clarifies the point that what we need is independent access for researchers to check the math,” said Justin Hendrix, co-author of a report on social media and polarization and editor at Tech Policy Press, after reviewing The Markup’s data.

This article was originally published on The Markup By: Corin Faife and was republished under the Creative Commons Attribution-NonCommercial-NoDerivatives license.

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Climate Movement Hails ‘Mind-Blowing’ $40 Trillion in Fossil Fuel Divestment Pledges

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“Institutions around the world must step up now and commit to joining the divest-invest movement before it is too late—for them, for the economy, and for the world.”

Over the past decade, nearly 1,500 investors and institutions controlling almost $40 trillion in assets have committed to divesting from fossil fuels—a remarkable achievement that climate campaigners applauded Tuesday, while warning that further commitments and action remain crucial.

“Divestment has helped rub much of the shine off what was once the planet’s dominant industry. If money talks, $40 trillion makes a lot of noise.”

“Amidst a depressing era in the race against climate change—with killer fires and titanic storms, political stalemate, and corporate greenwashing—the fossil fuel divestment movement is a source for tremendous optimism,” states a new report—entitled Invest-Divest 2021: A Decade of Progress Toward a Just Climate Future—published Tuesday.

“Ten years in, the divestment movement has grown to become a major global influence on energy policy,” the publication continues. “There are now 1,485 institutions publicly committed to at least some form of fossil fuel divestment, representing an enormous $39.2 trillion of assets under management. That’s as if the two biggest economies in the world, the United States and China, combined, chose to divest from fossil fuels.”

The paper—a joint effort between the Institute for Energy Economics and Financial Analysis, Stand.earth, C40, and the Wallace Global Fund—comes on the eve of the United Nations Climate Conference in Glasgow, and notes that the divestment movement “has grown so large that it is now helping hold fossil fuel companies accountable for the true cost of their unregulated carbon pollution.”

The report continues:

Since the movement’s first summary report in 2014, the amount of total assets publicly committed to divestment has grown by over 75,000%. The number of institutional commitments to divestment has grown by 720% in that time, including a 49% increase in just the three years since the movement’s most recent report. The true amount of money being pulled out from fossil fuels is almost certainly larger since not all divestment commitments are made public.

The movement has now expanded far beyond its origins as a student-driven effort on college campuses. Divestment campaigners now target cities, states, foundations, banks, investment firms, and any player who participates in the global investment pool.

“Major new divestment commitments from iconic institutions have arrived in a rush over just a few months in late 2021,” the report notes, “including Harvard University, Dutch and Canadian pension fund giants PME and CDPQ, French public bank La Banque Postale, the U.S. city of Baltimore, and the Ford and MacArthur Foundations.”

Underscoring the paper’s assertion, ABP, Europe’s largest pension fund announced Tuesday that it would stop investing in fossil fuel producers.

“Divestment remains a critical strategy for the climate movement,” the publication states. “It must be combined with an accelerated push for investment in a just transition to a clean, renewable energy future if the world is to avoid a future of worsening human injustice and irreversible ecological damage. Financial arguments against divest-invest no longer hold water.”

Bill McKibben, co-founder of the climate action group 350.org, wrote in a Tuesday New York Times op-ed that “divestment has helped rub much of the shine off what was once the planet’s dominant industry. If money talks, $40 trillion makes a lot of noise.”

“This movement will keep growing, and keep depriving Big Oil of both its social license and its access to easy capital,” McKibben said in a separate statement introducing the new report.

The report’s authors contend that institutional investors must agree to three principles “if they want to be on the right side of history and humanity”:

  • Immediately and publicly commit to fully divesting from and stopping all financing of coal, oil, and gas companies and assets;
  • Immediately invest at least 5% of their assets in climate solutions, doubling to 10% by 2030—including investments in renewable energy systems, universal energy access, and a just transition for communities and workers—while holding companies accountable to respecting Indigenous and other human rights and environmental standards; and
  • Adopting net-zero plans that both immediately cut investments in fossil fuels and ensure that all other assets in their portfolio develop transition plans that reduce absolute emissions by 50% before 2030.

“Institutional investors everywhere are beginning to come to terms with the danger that fossil fuels pose to their investment portfolios, their communities, and their constituencies,” the report states. “This realization is important but it is not enough. Institutions around the world must step up now and commit to joining the divest-invest movement before it is too late—for them, for the economy, and for the world.”

“Societies, economies, and the climate are all changing,” the paper concludes. “The financial world will have to change with them.” 

Rev. Lennox Yearwood Jr., president and CEO of Hip Hop Caucus, said in a statement that “the climate crisis is here, and so are climate solutions. We know communities of color are disproportionately impacted by the climate crisis here in the U.S. and across the world. In order to create a just future, we must divest from fossil fuels and invest in communities on the frontlines of the climate crisis.”

“It is not enough to divest from only some fossil fuels or with only some of your portfolio—all investors must immediately divest all fossil fuels from all of their portfolio, while investing in climate solutions.”

Yearwood added that “over 10 years the divest-invest movement has become one of the most powerful global forces in a just transition to a clean energy future.”

Ellen Dorsey, executive director of the Wallace Global Fund, said that “the activist-driven divestment movement has yielded unprecedented and historic results in moving tens of trillions of dollars out of the industry driving the climate crises and exposing its failing business model.”

“But investors need to do more,” she argued. “It is not enough to divest from only some fossil fuels or with only some of your portfolio—all investors must immediately divest all fossil fuels from all of their portfolio, while investing in climate solutions with at least 5% of their portfolios, scaling to 10% rapidly.”

“Mission investors have a unique role to play to ensure the energy transition is a just one and that all people have access to safe, clean and affordable energy by 2030,” Dorsey added. “To do anything less does not address the scale or pace of this climate crisis.”

Originally published on Common Dreams by BRETT WILKINS and republished under a Creative Commons License (CC BY-NC-ND 3.0)

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How We Analyzed Amazon’s Treatment of Its “Brands” in Search Results

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We found that Amazon routinely puts its own brands and exclusive products first, above competitors with better ratings and more reviews

Abstract

About 40 percent of online purchases in the United States take place on Amazon.com. The next nearest competitor, Walmart, only garnered 5 percent of online sales. J.P. Morgan expects that Amazon will surpass Walmart’s total U.S. online and offline sales next year, knocking it off its pedestal as the nation’s largest retailer.

Small businesses and individuals say that in order to sell their products online in the U.S., they have to be on Amazon and—given the millions of products on its virtual shelves at any moment—they have to get a high ranking from Amazon’s product search engine or buy sponsored listings.

Amazon transitioned from digital retailer to sales platform in 2000, when it took a page from eBay and started allowing individuals and companies to sell through its website. This led to explosive sales growth (though the company reported only small profits overall, choosing to reinvest its profits for most of its existence). Amazon encouraged these “third-party sellers” with add-on services like storage, shipping, and advertising. Third-party sellers now account for 58 percent of sales on Amazon.

Even as sellers saw their revenues grow, they started to suspect that Amazon was using their nonpublic sales information to stock and sell similar products, often for less money.

Indeed, Amazon has been investing in creating products sold under its own brand names since at least 2007. Since 2017, it has dramatically expanded its catalog of private-label brands (which are trademarked by Amazon and its partners) and its list of exclusive products (developed by third-party companies who agree to sell them only on Amazon). The company refers to both as “our brands” in various parts of its website.

In 2019, Amazon told Congress it had 45 in-house brands selling approximately 158,000 products.

We found that Amazon has now registered trademarks for more than 150 private-label brands, and market research firm TJI Research estimated the number of brands developed by others but sold exclusively on Amazon.com at 598 in 2019. Some of its house brand names signal to buyers that they are part of the company—such as Amazon Basics, Amazon Essentials, and Amazon Commercial.

But hundreds of others carry labels that do not clearly indicate that they belong to the online retail giant—including Goodthreads, Lark & Ro, Austin Mill, Whole Paws, Afterthought, Truity, find., Fetch, Mr. Beams, Happy Belly, Mama Bear, Wag, Solimo, and The Portland Plaid Co.

Amazon says it sold $3 billion in private-label goods in 2019, representing just one percent of sales on the platform, but does not specify which brands are included in that estimate. Analysts with SunTrust Robinson Humphrey estimated that Amazon sold five times as much, $15.6 billion of private-label goods in 2019, including brands owned by Whole Foods, and that the figure will reach $31 billion by 2022.

The result is that sellers now not only compete against each other for placement in Amazon search results but also increasingly against Amazon’s own in-house brands and exclusives. According to a to a 2021 report by JungleScout, 50 percent of sellers say Amazon’s products directly compete with theirs.

We sought to investigate how Amazon treats its own products in search results. These are proprietary devices, private labels, and exclusive-to-Amazon brands it considers “our brands.”

To do so, we started by developing a list of 3,492 popular product searches, ran those searches on desktop (without logging in), and analyzed the first page of results.

We found that in searches that contained Amazon brand and exclusive products, the company routinely put them first, above those from competing brands with better ratings and more reviews on Amazon.

Furthermore, we trained supervised machine learning classifiers and found that being an Amazon brand or exclusive was a significantly more important factor in being selected by Amazon for the number one spot than star ratings (a proxy for quality), review quantity (a proxy for sales volume), and any of the other four factors we tested. We did not analyze the potential effect of price on ranking because unit sizes were not standard, affecting price. In addition, similar products can vary by factors that affect price, such as materials and workmanship, for which we also could not control.

Importantly, we found that knowing only whether a product was an Amazon brand or not could predict whether the product got the top spot 70 percent of the time.

In a nationally representative survey we commissioned, only 17 percent of respondents said they expect the determining factor behind whether Amazon places a product first is whether it owns the brand. About half (49 percent) said they thought the products Amazon placed in the number one spot were the best-selling, best-rated, or had the lowest price. The remaining 33 percent said they didn’t know how Amazon ranked products.

We found that Amazon disproportionately placed its own products in the top search result. Despite making up only 5.8 percent of products in our sample, Amazon gave its own products and exclusives the number one spot 19.5 percent of the time overall. By comparison, competing brands (those that are not Amazon brands or exclusive products) were given the number one spot at a nearly identical rate but comprised more than 13 times as many products at 76.9 percent.

Most of the Amazon brand and exclusive products that the company put in the number one spot, but not all—83.9 percent—were labeled “featured from our brands” and carried the phrase “sponsored result” in the source code (as well as being part of a grid labeled “search results” in the source code). They were not marked “sponsored” to shoppers.

In a short, written statement, Amazon spokesperson Nell Rona said that the company does not favor its brands in search results and that it considers “featured from our brands” listings as “merchandising placements” and not “search results,” despite their presence in the search results grid. Rona said these listings are not advertisements, and declined to answer dozens of other questions.

Overall, 37.4 percent of Amazon brand or exclusive products in search results in our sample were neither labeled as “our brands” nor carried a name widely associated with the company, such as AmazonBasics or Whole Foods. That left buyers unaware that they were buying an Amazon brand or exclusive-to-Amazon product.

Nearly nine-in-10 U.S. adults who responded to our survey were unable to identify Amazon’s highest-selling private label brands (Pinzon, Solimo, and Goodthreads), and only 51 percent were aware that Whole Foods is an Amazon-owned brand.

Rona said Amazon identifies its products by including the words “Amazon brand” on the products page, among a list of the item’s features, and sometimes in the listing title. We only found this to be the case in 23 percent of products in our sample that were Amazon-owned brands.

Comparing product pages three months apart, we found that they were less dynamic than they used to be. The default seller among products with multiple merchants only changed in 23.5 percent of products in our data. This was significantly less often than a comparable study from five years ago.

Background

Amazon and third-party sellers have a tense symbiosis. Amazon founder and chairman Jeff Bezos has acknowledged the importance of sellers to the company’s bottom line but also calls them competitors. Amazon provides shipping, inventory management, and other services, he wrote, that “helped independent sellers compete against our first-party business” to begin with. Sellers say Amazon’s fees cut deep into their margins but they can’t get the same volume of sales anywhere else. 

Antitrust regulators in Europe, Asia, and North America have been examining Amazon’s treatment of third-party sellers.

The European Commission announced an antitrust investigation in 2019, alleging Amazon used third-party seller data to inform its own sales decisions. The commission also announced a separate investigation in 2020 into whether Amazon gives preference to its own listings and to third-party sellers that use its shipping services over other sellers. Last year, India’s antitrust regulator announced an investigation into alleged anti-competitive practices by Amazon, including preferential treatment for some sellers. And in June 2021, U.S. lawmakers introduced the American Choice and Innovation Online Act, which prohibits large platforms from advantaging themselves in their own marketplaces or using nonpublic data generated by business conducted on their platform. Authorities in Germany and Canada are investigating Amazon’s selling conditions for third-party sellers, and the attorney general for Washington, D.C., filed a lawsuit in May 2021 that accuses Amazon of overly restrictive requirements for third-party sellers.

Also last year, U.S. lawmakers pressed Bezos on his treatment of third-party sellers during a congressional hearing that was part of an antitrust investigation into the four major tech companies. Rep. Lucy McBath, a Democrat from Georgia, told Bezos, “We’ve interviewed many small businesses, and they use the words like ‘bullying,’ ‘fear,’ and ‘panic’ to describe their relationship with Amazon.” The resulting report produced by the subcommittee indicated Amazon was well aware of its power over third-party sellers, citing an internal Amazon document that “suggests the company can increase fees to third-party sellers without concern for them switching to another marketplace.”

Journalists and researchers have documented instances of Amazon promoting its house brands over competitors’. In 2016, Capitol Forum, a subscription news service focused on antitrust issues, examined hundreds of listings and found that Amazon “prioritizes its own clothing brands on the promotional carousel labeled ‘Customers Who Bought This Item Also Bought’ ” on product pages. Capitol Forum said Amazon did not respond to its request for comment.

A study titled “When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces,” presented at the Association for Computing Machinery’s Conference on Fairness, Accountability, and Transparency in March 2021, examined how Amazon’s private-label brands performed in “related products” recommendations on product pages for backpacks and batteries. The researchers said they found that “sponsored recommendations are significantly more biased toward Amazon private label products compared to organic recommendations.”

In June 2020, ProPublica reported that Amazon was reserving the top spot in search results for its own brands across dozens of search terms, labeling it “featured from our brands” and shutting others out. An Amazon spokesperson told ProPublica at the time that the move was a “normal part of retail that’s happened for decades.”

Our investigation is the first study to use thousands of search queries to test how Amazon’s house brands rank in search results—and to use machine learning classifiers to determine whether sales or quality appeared to be predictive of which products Amazon placed first in search results.

In addition, we used a multipronged approach to identify Amazon house brands and exclusives, building a data set of 137,428 unique products on Amazon, which is available in our GitHub. We were unable to find any such publicly accessible dataset when we began our investigation.

Methodology: Data Collection

Sourcing Product Search Queries

To measure how Amazon’s search engine ranked Amazon’s own products relative to competing brands, we needed a list of common queries that reflect what real people search. We built the dataset from top searches from U.S. e-commerce retailers, using two sources.

The first was autocomplete queries on Amazon.com’s and Walmart.com’s product search bars. We cycled through each letter of the alphabet (A–Z) as well as numbers ranging from 0 to 19 and saved the suggested search queries presented by the autocomplete algorithm. This process yielded 7,696 queries from Amazon.com and 3,806 queries from Walmart.com.

We then gathered the most popular searches reported by Amazon via its Seller Central hub. We collected the top 300 searches between Q1 and Q3 2020 for the Amazon categories “Softlines,” “Grocery,” “Automotive,” “Toys,” “Office Products,” “Beauty,” “Baby,” “Electronics,” and “Amazon.com.” This provided 2,700 unique searches.

Combining the autocomplete queries and seller-central queries resulted in 11,342 unique “top search” queries.

Collecting Search Results

We created a Firefox desktop emulator using Selenium. The emulator visited Amazon.com and made each of the 11,342 searches on Jan. 21, 2021. The search emulator was forwarded through IP addresses in a single location, Washington, D.C., in order to reduce variation in search results (which typically vary by location).

We saved a screenshot of the first page of search results as well as the HTML source code. (Examples of screenshots and source code for search results are available on GitHub.)

In the source code of product search result pages, Amazon titles some listings with the data field “s-search-result.” This is what we are calling search results in our data. Amazon does serve other products on the search results page in advertising and other promotional carousels, including “editorial picks” and “top rated from our brands,” but those do not appear in every result (at most a third of our sample), and they are not part of the grid that Amazon labels search results.

On desktop, the majority of Amazon-labeled “search results” in our data were delivered in uniform 60-product positions (four per column for 15 rows, though Amazon narrows the width to three columns on smaller screens). Some searches returned fewer than 60 products, but none returned more. A minority (about one in 10) of searches in our data returned 22 products or fewer, delivered in a single column, one item per row. This happened for some electronics searches but never in other search categories.

Because we were seeking to analyze how Amazon ranks its own products relative to competing brands’ products, we further limited our analysis to search results that contained Amazon brands and exclusives on the first page. Of the 11,342 top searches, slightly less than three in 10 (30.8 percent) contained this type of product on the first page. We used the resulting 3,492 top searches for our analysis.

Identifying Amazon’s Brands and Exclusives

We were unable to find a public database of Amazon brand and exclusive products, so we had to build one.

We started with the search pages themselves. On many (but not all), Amazon provides a filter on the left-hand side, allowing shoppers to limit the search to “our brands,” which Amazon says lists only its private label products and “a curated selection of brands exclusively sold on Amazon.” 

We collected each of those “our brand” results for each query, saving a screenshot and the source code, also on Jan. 21, 2021.

We then discovered an undocumented API that yields all Amazon “our brands” products for any given search. We ran all 11,342 search terms through this API and saved those responses as well. (API responses are available on GitHub.)

Both the search emulator and API requests were forwarded through IP addresses in Washington, D.C.

Strangely, Amazon does not identify proprietary electronics, including Kindle readers and Ring doorbells, when a shopper filters a search result to list only Amazon’s “our brands.” To identify those, we also gathered products Amazon listed as best sellers in the category “Amazon Devices & Accessories.”

Together, all three sources yielded a dataset of 137,428 unique products, identified by their 10-character ASIN (Amazon Standard Identification Number). This dataset of Amazon’s proprietary devices, private label, and exclusive products is available on GitHub.

It is the largest and most comprehensive open access dataset of Amazon brand and Amazon-exclusive products we’ve seen, and yet we know it is not complete. Amazon told Congress in July 2019 that at that time it sold approximately 158,000 products from its own brands.

Collecting Product Pages

In addition to the above, we collected the individual product pages for the 125,769 products that appeared in the first page of our 3,492 top searches in order to analyze the buy box information. The buy box displays the price, return policy, default seller, and default shipper for a product.

To gather the product pages, we used Amazon Web Services and the same Selenium emulator we made for collecting the search result pages. The emulator visited the hyperlink for each product and saved a screenshot and the source code.

We collected these pages on Feb. 3–6 and Feb. 17–18, a few weeks after we scraped the search result pages. To determine the effects of the delay, we analyzed how often a subsample of buy boxes’ default sellers and shippers flipped between Amazon and third parties after a similar lag and found they remained largely unchanged (see more in Limitations).

Product Characteristics

We asked up to four questions of every product listing in order to identify certain characteristics and used this to produce the categories we used in our analysis.

  1. is_sponsored: Is the listing a paid placement?
  2. is_amazon: Is the listing for an Amazon brand or exclusive?
  3. is_shipped_by_amazon: Does the default seller of the product (the “buy box”) use Amazon to ship the listed product?
  4. is_sold_by_amazon: Is the default seller of the product Amazon?

Sponsored products (is_sponsored) are the most straightforward: Amazon labels them “sponsored.” If a product in the Amazon-labeled search results is not sponsored, we consider it “organic.” We only identified products with subsequent features if they were organic.

We identified an organic product as an Amazon brand or exclusive (is_amazon) when it matched one of the 137,428 Amazon ASINs we collected. If it didn’t match, we considered it a “competing brand.”

We identified a product as is_amazon_sold if the “sold by” text in the buy box contained “Amazon,” “Whole Foods,” or “Zappos” (which is owned by Amazon). If it didn’t, we identified the product as “Third-Party Sold.”

We identified a product as is_amazon_shipped if the buy box shipper information contained “Amazon” (including “Amazon Prime,” “Amazon Fresh,” and “Fulfilled by Amazon”), “Whole Foods,” or “Zappos” (which is owned by Amazon). If it didn’t contain Amazon, we identified products as “Third-Party Shipped.”

We use these features to train and evaluate predictive classifiers (see Random Forest Analysis) as well as produce product categories in our ranking analysis (see the following section).

Most of the categories have a direct relationship with the features they are named after.

We categorized products as “Sponsored” if we identified them as is_sponsored. Similarly, we categorized products as “Amazon Brands” and exclusives if they are organic and is_amazon, and “Competing Brands” if the products are organic and not is_amazon.

We categorized organic products as entirely “Unaffiliated” if they did not meet the criteria for is_amazon, is_amazon_sold, and is_amazon_shipped. In other words, these are competing brands that are sold and shipped by third-party sellers.

The features and categories we identified are hierarchical and overlap. Their relationships are summarized in the diagram below.

Data Analysis

Ranking Analysis: Who Comes Out on Top?

We analyzed the rate of products that received the top search result relative to the proportion of products of the same category that appeared in our sample. We found that Amazon brands and exclusives were disproportionately given the number one search result relative to their small proportion among all products.

We used two straightforward measures for our analysis. First, we calculated a population metric using the percentage of products belonging to each category among products from all the search pages. To do this, we divided the number of products per category that occupy search result slots compared to all product slots in our sample. This included duplicates.

We then calculated an incidence rate for how frequently Amazon gave products in each category the coveted first spot in search results. We did this by dividing the number of searches in each category in the top spot by the total number of searches in our sample (with at least one product). (A table of each of these metrics by category appears in our GitHub and in “Supplementary datasets.”)

We chose to focus on that top left spot because Amazon changes the number of items across the first row based on screen size, and some searches return only a single item per row, so the top left spot is the only one to remain the same across all search results in our data.

In a majority of the searches in our data, 59.7 percent, Amazon sold the top spot to a sponsored product (17.3 percent of all product slots). The bulk of our analysis concerns the remaining 40.3 percent.

When we looked at all searches, Amazon gave its own products the number one spot 19.5 percent of the time even though this category made up only 5.8 percent of products in our sample.

Amazon gave competing brands the number one spot at a nearly identical rate (20.8 percent of the time), but these cover more than 13 times the proportion of products in our sample (76.9 percent).

Amazon gave entirely unaffiliated products (competing brands that were sold and shipped by third-party sellers) the top spot 4.2 percent of the time, but these products made up 5.8 percent of all products in our sample.

The only organic (nonsponsored) category that Amazon placed in the number one spot at a rate that was greater than the proportion of its products in the sample was its own brands and exclusives.

About eight in 10 (83.9 percent) of the Amazon brands or exclusives that Amazon placed in the top spot were labeled “featured from our brands.” These are identified as part of Amazon’s “search results” and are not marked “sponsored.” However, the source code for those labeled results contained information that was the same as sponsored product listings (data-component-type=”sp-sponsored-result”). These Amazon brand and exclusive brand products were not labeled as “sponsored” for shoppers.

Where Are Products Placed?

In addition to the top spot, we calculated how often Amazon placed each type of product in each search result position down the page (1–60). All searches have a number one spot but do not always return 60 results, so we always calculated this rate using the number of searches with that product spot as the denominator. Sponsored results that are part of search results are counted in the denominator of the rates.

(As mentioned earlier, we did not include promotional and advertising carousels and modules because these are not part of the grid labeled “search results” in the metadata and none appeared in the same place in a majority of search results.)

Amazon placed its own products and exclusives in the number one spot 3.5 times more frequently than in any other position on the search page.

It placed competing brands (including those it sells itself) everywhere except the top (1) and bottom (15) rows of the search page. Competing brands appeared only sparsely where sponsored products were common in search results (rows 4–5 and 8–9). The company placed entirely unaffiliated products—meaning a competitor’s brand that was both sold and shipped by a third party—primarily in the lower rows (9–13).

In 59.7 percent of searches in our sample, Amazon gave the number one spot to sponsored products. When Amazon returned a 15th row, it always listed sponsored products there, too.

Not Always Labeled

Amazon only identified 42 percent of its brands and exclusives to the shopper with a disclosure label (e.g., “featured from our brands,” “Amazon brand,” or “Amazon exclusive”). Of the Amazon brand and exclusive products in our sample, 28.8 percent were from a brand many people (but not all) would understand to be a private Amazon label, such as “Whole Foods,” “Amazon Basics,” or “Amazon Essentials.” Some were both labeled and from a better-known Amazon brand. For the remaining 37.4 percent, we found that buyers were not informed that they would be purchasing an Amazon brand or exclusive.

When the same product that is an Amazon brand or exclusive appeared more than once in the same search, we considered it labeled if any of the listings were labeled. This gives Amazon the benefit of the doubt by assuming that a customer will understand that the disclaimer applies to duplicate listings. Therefore, our metrics for disclosure are the lower bound.

Duplicates

Amazon gave its own products more than one spot in search results in roughly one in 10 (9.2 percent of) searches, not including other potential duplicates in promotional carousels. It did not give competing brands’ products more than one spot for organic search results.

Survey Results

We commissioned the market research group YouGov to conduct a nationally representative survey of 1,000 U.S. adults on the internet, to contextualize our findings. It revealed that 76 percent of respondents correctly identified Amazon Basics as being owned by Amazon and 51 percent correctly identified Whole Foods.

The vast majority of respondents, however, could not identify the company’s top-selling house brands that did not contain the words “Amazon” or “Whole Foods” in their name. Ninety percent did not recognize Solimo as an Amazon brand, and 89 percent did not know Goodthreads is owned by Amazon. Other top-selling brands, like Daily Ritual, Lark & Ro, and Pinzon were not recognized by 94 percent of respondents as Amazon brands.

We also asked respondents what trait defines the top-ranked products in Amazon search results. Few expected it to be based solely on being an Amazon brand. More than 21 percent of respondents thought the top-ranked product would be “the best seller,” 17 percent thought it was “the best rated,” 11 percent thought it was “the lowest price,” and 33 percent of respondents were “not sure.” Only 17 percent thought the number one listed item was “a product from one of Amazon’s brands.”

Quality and Sales Factors

We compared the star ratings (a rough proxy for quality) and number of reviews (a rough proxy for sales volume) of the Amazon Brands that the company placed in the number one spot on the product search results page with other products on the same page.

We found that in two-thirds (65.3 percent) of the instances where Amazon placed its own products before competitor brands, the products that were Amazon brands and exclusives had lower star ratings than competing brands placed lower in the search results. Half of the time (51.7 percent) that the company placed its own products first, these items had fewer reviews than competing products the company chose to place lower on the search results page.

One in four (28.0 percent of) top-placed Amazon brands had both lower star ratings and fewer reviews than products from competing brands on the same page.

When we evaluated several predictive models, we found that features like star ratings and the number of reviews were not the most predictive features among products Amazon placed in the number one spot.

Random Forest Analysis

We tried to determine which features differentiate the first organic product on search results from the second organic product on the same page.

To do this, we created a categorical dataset of product comparisons and used it to train and evaluate several random forest models.

The product comparisons looked at differences in features that we had access to, and that seemed relevant to product rankings (like stars and reviews). We found that being an Amazon brand or exclusive was by far the most important feature, of the seven we tested, in Amazon’s decision to place a product in the number one versus number two spot in product search results.

How We Created Product Comparisons

We took our original dataset of 3,492 search results with at least one Amazon brand or exclusive, filtered out sponsored products, and generated a dataset of product comparisons. Each product comparison is between the number one product and number two product on the same search page. The random forest used these attributes to predict a yes or no (boolean) category: which product among the pair was given the top search result (placed_higher).

The product comparisons encode the differences in star ratings (stars_delta) and number of reviews (reviews_delta); whether the product appeared among the top three clicked products from one million popular searches in 2020 from Amazon Seller Central (is_top_clicked); and whether the product was sold by Amazon (is_amazon_sold), shipped by Amazon (is_amazon_shipped), or was an Amazon brand or exclusive (is_amazon). We also used a randomly generated number as a control (random_noise). Distributions of each of these features is available on GitHub.

While we had access to price information, we did not analyze its potential effect on ranking because price was not standardized per unit. We also had access to each product’s “best sellers rank” for the time period we collected product pages, but the same product could have various different rankings in different Amazon categories (e.g., #214 in Beauty & Personal Care and #3 in Bath Salts), making consistent comparisons impossible.

This produced a dataset of 1,415 product comparisons. (To see exactly how we created our training and validation dataset, see our GitHub.)

By creating this dataset of product comparisons, we were able to compare two products with one model and control for which features led to higher placement.

Why Random Forest?

A random forest combines many decision tree models, a technique we used in a previous Markup investigation into Allstate’s price increases. Decision trees work well at predicting categories with mixed data types, like those from our product comparisons.

Decision trees can, however, memorize or “overfit” the training data. When this happens, models can’t make good predictions on new data. Random forests are robust against overfitting and work by training a forest full of decision trees with random subsets of the data. The forest makes predictions by having each tree vote.

We used grid search with five-fold cross-validation to determine optimal hyperparameters (parameters we control versus those that arise from learning cycles): 500 decision trees in each forest, and a maximum of three questions each decision tree can ask the data. By asking more questions, each tree becomes deeper. But that also means that the trees are more likely to memorize the data. The more trees we train, the more resources it takes to run our experiment. Grid search trains and evaluates models with an exhaustive list of combinations of these hyperparameters to determine the best configuration.

Evaluating the Models

Our model correctly picked Amazon’s number-one-ranked product 73.2 percent of the time when all seven features were considered.

We systematically removed each feature and retrained and reevaluated the model (called an ablation study) in order to isolate the importance of each individual feature. We used the accuracy of the model trained on all seven features as a baseline to compare each newly evaluated model (see results in Change of Accuracy in table above).

When we did this, we saw that removing information about whether a product was an Amazon brand or exclusive (is_amazon) reduced the model’s ability to pick the right product by 9.7 percentage points (to 63.5 percent). This drop in performance was far greater than any other individual feature, suggesting that being an Amazon brand or exclusive was the most predictive feature among those we tested in determining which products Amazon placed in the first organic spot of search results.

To demonstrate the influence of Amazon brands and exclusives in another way, we trained a model with only is_amazon, and it correctly predicted the number one product 70.7 percent of the time. Every other standalone feature performed significantly worse, only picking the correct product between 49.3 (random_noise) and 61.5 (is_sold_by_amazon) percent of the time.

To a lesser extent, the number of reviews (reviews_delta) were also predictive of a product getting the number one spot. Removing this feature reduced the model’s performance by 3.3 percentage points.

The other six features were less informative when it came to getting the number one spot versus the number two spot. Performance of the random forest for every possible permutation of features is available in our GitHub.

These findings were consistent with ranking the feature importance from the random forest model trained on all features. This third approach also suggests that is_amazon is the most predictive feature for the random forest.

When we compared additional product pairs with the number one spot and those of lower-ranked products beyond just the number two spot, is_amazon remained the most predictive feature out of those we tested (results in our GitHub).

We used predictive models to show that being an Amazon brand or exclusive was the most influential feature among those we tested in determining which products Amazon chose to place at the top of search results.

Limitations

Search Data Limitations

The two datasets we created are small in comparison to the full catalog of products for sale on Amazon.com, for which there are no reliable estimates. However, we sought to examine searches and products that generate significant sales, not every product or every search.

We collected search data on desktop, so our analysis only applies to desktop searches. Amazon’s search results may differ on mobile, desktop, and the Amazon app.

Amazon’s search results can also vary by location. One example is the distance of the closest Whole Foods store and its inventory, which would affect any given person’s search for certain items. We collected the data using I.P. addresses in Washington, D.C., so our results are specific to that city.

And, according to an Amazon-authored report for IEEE Internet Computing, a journal published by a division of the Institute of Electrical and Electronics Engineers, Amazon personalizes offerings to buyers according to similar items they have already purchased or rated (called item-to-item collaborative filtering). Our searches were not made in the same session nor were we logged into an Amazon account with user history, so our results were not personalized. In the absence of personalization, Amazon defaults to “generally popular items.” This also means that we did not capture search results or product pages for Amazon Prime subscribers.

Product Page Data Limitations

Some products that compete with Amazon brand and exclusive products are sold by numerous sellers, including Amazon itself. A 2016 ProPublica investigation revealed that of a sample of 250 products, Amazon took the buy box for itself or gave it to vendors that paid for the “Fulfilled by Amazon” program in 75 percent of cases. The same year, researchers at Northeastern University tracked 1,000 best-selling products over six weeks and found that buy box winners changed for seven out of 10 products in their study.

For our main analysis, we did not seek to analyze which specific seller won the buy box but rather whether the seller or shipper during our snapshot was Amazon or a third party.

We captured product pages and their subsequent buy boxes in a snapshot of time between Feb. 3–6 and 17–18. Due to a technical problem, there was a two- to four-week delay between when we collected the searches and when we collected the product pages. This means that the seller and shipper of those products are only representative of searches made during that time and could have changed from the time we collected the searches to when we collected the product pages.

When we collected product pages in February, about 3.9 percent of them were no longer available or the product had been removed from the Amazon Marketplace altogether since we gathered the search pages in January. We removed these products from any calculations involving the seller or shipper.

To test the reliability of our product page data, we took a random sample, on May 13, 2021, of 2,500 of the 125,769 products we had collected in February 2021 and reran the product page scraper.

Some of the product pages were missing data: 6.1 percent were sold out, 1.6 percent were removed from Amazon’s marketplace, and another 3.4 percent no longer displayed a default seller who won the buy box. In these latter cases, Amazon provided a button to “See All Buying Options.” The missing data did not overall favor or disfavor Amazon but rather was consistent with the proportion of Amazon-sold products (30.2 compared to 27.1 percent) from the sample of products we recollected.

The remaining 2,103 products that had legible buy boxes (the vast majority) were largely unchanged. Only 16.1 percent of products changed default sellers. This included changes between Amazon and third-party sellers.

Product sellers changed from a third party to Amazon in 1.6 ± 0.5 percent of products, and from Amazon to a third party in 3.1 ± 0.7 percent of products (margins of error calculated with 95 percent confidence).  

When it came to who shipped the product, the shipper went from a third party to Amazon in 2.9 ± 0.7 percent of products, and from Amazon to a third party in 6.6 ± 1.1 percent of products.

Because the buy box remained largely unchanged during a 12-week gap in this representative subsample of our data, we find that our buy box findings are reliable, despite the three- to four-week gap between when we gathered search results and product pages.

This seemed to signal a change from previous research. So we went further to determine whether the buy box had become more stable since the 2016 Northeastern University study. That study was limited to products with multiple sellers. When we did the same, it brought the sample size down to 1,209. Looking only at products with multiple sellers, we found Amazon changed the buy box seller for only 23.5 percent of products. In addition, among products with multiple sellers, Amazon gave itself the buy box for 40.0 percent of them.

For products with multiple sellers, the winning sellers changed from Amazon to a third party in 2.1 ± 0.8 percent of products and from a third party to Amazon in 4.4 ± 1.1 percent of products. Third-party sellers changed among themselves in 31.4 percent of products sold by third-party sellers. No individual third-party seller won more than 0.06 percent of the products with more than one seller.

Shippers changed from Amazon to a third-party in 2.3 ± 0.8 percent of products and from a third party to Amazon in 7.8 ± 1.5 percent of products.

Reviewing the product pages three months apart, we found that the default seller Amazon chose for the buy box when multiple merchants were available has become significantly less likely to change from five years ago.

Limitations Identifying Amazon Brands and Exclusive Products

Amazon’s “our brands” filter is incomplete. For instance, it listed only 70.3 percent of products that were tagged “featured from our brands” on the search page. In addition, Amazon did not include its proprietary electronics in the “our brands” filtered results when we gathered the data. The company declined to answer questions about why these were not included.

Because of this, we had to use three methods to collect our product database of Amazon brands and exclusives, and it’s possible we missed some products, particularly proprietary electronics.

Black Box Audit

Our investigation is a black box audit. We do not have access to Amazon’s source code or the data that powers Amazon’s search engine. There are likely factors Amazon uses in its ranking algorithm to which we do not have access, including return rates, click-through rates, and sales. We have some data from Amazon’s Seller Central hub about popular products and clicks, but this data is itself limited and did not cover all of the products in our searches.

For these reasons, our investigation focuses on available and clear metrics: how high categories of products are placed compared to their proportion of results, how well users review highly ranked products relative to other products, and how many reviews a product has garnered, which is a crude indication of sales.

Amazon’s Response

Amazon did not take issue with our analysis or data collection and declined to answer dozens of specific questions.

In a short, prepared statement sent via email, spokesperson Nell Rona said that the company considers “featured from our brands” listings as “merchandising placements,” and as such, the company does not consider them “search results.” Rona said these listings are not advertisements, which by law would need to be disclosed to shoppers. We found these listings were identified as “sponsored” in the source code and also part of a grid marked “search results” in the source code.

 “We do not favor our store brand products through search,” Rona wrote.

“These merchandising placements are optimized for a customer’s experience and are shown based on a variety of signals,” Rona said. None of these were explained beyond “relevance to the customer’s shopping query.”

Regarding disclosing to customers about Amazon brands, Rona said they are identified as “Amazon brand” on the products page, and some carry that wording in the listing. We found this to be the case in only 23 percent of products that were Amazon-owned brands.

She said brands that are exclusive to Amazon would not carry that wording since they are not owned by Amazon.

Rona supplied a link to an Amazon blog post that mentions that its branded products made up about one percent of sales volume for physical goods and $3 billion of sales revenue in 2019. It is unclear whether brands exclusive to Amazon are included in those figures.

Conclusion

Our investigation revealed that Amazon gives its own products preference in the number one spot in search results even when competitors have more reviews and better star ratings. We also found that reviews and ratings were significantly less predictive of whether a product would get the number one spot than being an Amazon brand or exclusive.

In addition, we found that Amazon placed its own products and exclusives in the top spot in higher proportion than it appeared in the sample, a preference that did not exist for any other category. In fact, it placed its own brands and exclusives in the top spot as often as competing brands—about 20 percent of the time—although the former made up only six percent of the sample and the latter 77 percent.

Almost four in 10 products that we identified as Amazon brands and exclusives in our sample were neither clearly labeled as an Amazon brand nor carried a name that most people recognize as an Amazon-owned brand, such as Whole Foods. In our survey, almost nine-in-10 U.S. adults did not recognize five of Amazon’s largest brands.

We also found that the default seller among products with multiple merchants changed for just three in 10 products over three months, a significantly lower rate of change than a similar study found five years ago.

Amazon’s dominance in online sales—40 percent in the United States—means the effect of giving its own products preference on the search results page is potentially massive, both for its own business as well as the small businesses that seek to earn a living on its platform.

Appendix

Supplementary Search Dataset and Analysis

When first exploring this topic and before hitting on our top searches dataset, we had created a generic dataset that returned similar findings. We replaced it as the main dataset because our top searches dataset was closer to real searches made by users. We include it here as a secondary dataset.

Generic Searches

We created a search dataset from products listed in each of the 18 departments found on Amazon’s “Explore Our Brands” page.

Three annotators looked through 1,626 products listed on those pages and generated between one and three search queries a person might use if searching for that product. These were meant to represent generic searches for which we know Amazon brands are competing against others.

We generated 2,558 search terms. We randomly sampled 1,600 and collected these searches using the same method and during the same time period we used to collect top searches. A quarter of the search results (24 percent) did not contain Amazon Brands, so we discarded them, leaving 1,217 generic searches, our supplementary dataset.

Generic Search Findings

In the generic searches, Amazon Brands constituted a slightly larger percentage of the overall product sample (8.2) than our top searches database (5.8). The percentage of the time Amazon gave its own products the number one spot also increased, to roughly one in four of our generic searches from one in five for our top searches.

Competing brands constituted a similar proportion of products in both of our datasets. However, Amazon placed competing brands in the number one spot even less often (10.8) in these generic searches than it had for top searches (20.8).

Entirely unaffiliated products made up even less of the pool of products in our generic searches (3.0) than top searches (5.8), and Amazon also gave them the top spot even less frequently, 1.5 percent of the time compared to 4.2 percent for top searches.

The results from this additional dataset show a similar pattern to our main dataset, whereby Amazon prioritizes its own products at the top of search results.

Counting Carousels

As mentioned earlier, we did not include sponsored or promotional carousels in our analysis.

If we were to consider sponsored or promotional carousels, the percentage of organic products from top searches would drop from 87 to 68 percent. This also means that sponsored products would increase from 17 percent to 32 percent. There were a total of 49,686 products in these carousels.

Acknowledgements

We thank Christo Wilson of Northeastern University, Juozas “Joe” Kaziukėnas of Marketplace Pulse, Rebecca Goldin of Sense About Science and George Mason University, Kyunghyun Cho of New York University, and Michael Ekstrand of Boise State University for reviewing all or parts of our methodology. We also thank Brendan Nyhan of Dartmouth College for reviewing our survey design.

This article was originally published on The Markup By: Leon Yin and Adrianne Jeffries and was republished under the Creative Commons Attribution-NonCommercial-NoDerivatives license.


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We’re Losing Our Humanity, and the Pandemic Is to Blame

Above: Collage by Lynxotic, Original Photo on Unsplash

Kurt Thigpen clenched his hands around the edge of the table because if he couldn’t feel the sharp edges digging into his palms, he would have to think about how hard his heart was beating. He was grateful that his mask hid his expression. He hoped that no one could see him sweat.

ProPublica is a Pulitzer Prize-winning investigative newsroom. Sign up for The Big Story newsletter to receive stories like this one in your inbox.Series: Coronavirus The U.S. Response to COVID-19

A woman approached the lectern in the center aisle, a thick American flag scarf looped around her neck.

“Do you realize the mask, the CDC said it’s only 2% effective?” she demanded. “You’re failing our children, you’re failing our country, you’re failing our students’ future ….”

Thigpen fixed his eyes on a spot in the back of the blue-and-green auditorium. He let the person speaking at the lectern fade. It will be over soon, he told himself.

A dark-haired woman in a red vest removed her face shield as she moved to take her turn at the mic. As she began to speak, the school board employee responsible for queuing up public commenters interrupted: “Ma’am, I’m gonna have to ask you to please keep your shield on —”

No, you’re not the boss of me, you work for us, I can’t breathe with it on —”

“Ma’am —”

“Don’t you dare cut my microphone —”

The crowd cheered. Thigpen focused on his breathing.

It will end soon, he told himself. It must. His sweat turned cold under his suit.

“The science isn’t there, take the kids outta the masks and let’s move on.”

It was March 2021, Thigpen’s second month as a school board trustee in Washoe County, Nevada. He had planned his campaign around local issues like improving the district’s diversity and equity policies and fixing an intersection where 20 students had been injured in traffic.

Public comment periods at school board meetings felt endless. Parents’ angers — over masking, over politics, over the “LGBTQ agenda” — fed off each other.

“I came here to speak about your fascist propaganda and ideology …”

He concentrated on making it to the next break period. His thoughts had begun to turn toxic. Why am I not good enough? Why am I the one struggling? They would turn darker. I don’t want to be here anymore. If something happened to me today, that would be fine.

“We will work tirelessly to remove you if you don’t focus on what’s important ….”

When the eight-hour meeting finally ended, he would drive home and pull off the suit and rip off his shirt. He would only take care with his rainbow tie, resting it gently in the closet. It still hangs there today. He would close the door, lay down on his bed, and let himself cry.

The stories of cruel, seemingly irrational and sometimes-violent conflicts over coronavirus regulations have become lingering symptoms of the pandemic as it drags through its second year. Two men on a Mesa-to-Provo flight got into a cross-aisle fight after one refused to wear a mask. A Tennessee teenager asking his school board to impose a mask mandate in honor of his grandmother who died of COVID-19 got jeered by the crowd. A California parent angered by the requirement that his child wear a mask allegedly beat up a teacher so badly that the teacher had to go to the emergency room. An Arizona father showed up to an elementary school with zip ties, allegedly intending to make a “citizen’s arrest” over COVID-19 rules. A Missouri medical center has distributed panic buttons to about 400 employees after an increase in assaults on health care workers by people frustrated over coronavirus-induced visitation restrictions and long wait times.

Many of the altercations have begun over masking because, unlike your vaccination status, a mask is right there on your face. Depending on your point of view, the mask can symbolize an erosion of personal freedoms or a willingness to protect others, a society that accepts tyranny or one that embraces science. A person’s reaction to a mask — or the absence of one — can be driven by an entire network of beliefs and emotions that have little to do with the face covering itself.

“What the hell is happening?” said Rachel Patterson, who owns a hair salon in Huntsville, Alabama, and who has been screamed at, cussed out and walked out on for asking clients to don a mask. “Like, I feel like we are living on another planet. Like I don’t — I don’t recognize anyone anymore.”

On Julie Simanksi’s first day of teaching for the fall 2021 semester, she tried to get her students to wear masks using the only method she was allowed: an emotional appeal. Simanski teaches at Des Moines Area Community College in Iowa. By state university policy, she can’t instruct her students to wear masks. Almost none did.

Simanksi told her students about her 20-year-old daughter, Olivia, who has a neuromuscular condition and requires 24-hour care. She didn’t know how Olivia’s body would cope with the virus. She was scared.

That night she sent an all-class email. She attached a picture of Olivia, smiling to her gums in blue sunglasses.

“I cannot mandate you to wear a mask in my class,” she wrote. “However, for the sake of my daughter and potentially others, I will make a continual plea to wear one.”

Simanksi brought a box of paper masks and put them in the back of the room. Some students took them. In each of her two sections, she has a group of four or five students who will not put one on.

“I’m surprised and I’m disappointed and a little bit angry that they just didn’t have the compassion to wear a mask for 55 minutes,” she said.

People’s pandemic views aren’t just preferences. They’ve evolved to fundamental beliefs. And when that happens, social psychologists say, people are more likely to accept incivility to achieve what they want.

“When people feel that their attitudes reflect strong moral convictions, that gives them permission to dehumanize those who oppose them,” said Linda Skitka, a psychology professor at the University of Illinois at Chicago who’s researching ideological divides. “And it doesn’t take a lot for the shift into perceptions of good and evil. So if the other side is basically evil, it’s not a far stretch to say it’s OK to yell at them.”

Courtney, a 29-year-old office worker living in Virginia who has asked that her last name not be shared for fear that she might lose her job if she’s identified, sat up on a medical bed surrounded by portraits of expectant mothers and their babies. In one, a brown-haired woman smiled at her 32-week mark, hands cupping her round belly. In another, the woman’s 6-day-old baby lay swaddled in a blue-and-white quilt, eyes closed. Courtney had just listened to her unborn child’s heartbeat. It was Aug. 17, two months out from her due date, and she had never before gotten so far along in a pregnancy without a miscarriage.

Courtney said her doctor went through the standard questions about her physical condition. Then the doctor asked if Courtney was working from home. No, she said. She had to go in twice a week.

Courtney looked at the pictures of the happy mothers. She’d undergone fertility treatment and had two miscarriages in less than a year. Both times, she’d asked herself: Was it my fault?

She knew that, even though she’d been fully vaccinated since May, a severe breakthrough infection could mean a ventilator for her and premature birth or death for her baby. She walked out of the office with a doctor’s note: Either everyone had to wear a mask around her, or she needed to work from home.

She saved a copy of the note on her phone and brought it with her the next time she went to the office. She recalls that as she sat at her desk, a colleague she considered a friend walked through her open door and sat down across from her. The colleague had just returned from a weeklong vacation and hoped Courtney could catch her up on what she’d missed.

The woman wasn’t wearing a mask.

“I actually have this note,” Courtney recalls saying. She pulled it up on her phone and held it out. “Do you mind wearing a mask?”

Her colleague didn’t look at the phone. She didn’t need to mask, the woman said. She had antibodies.

Courtney tried again. She told her colleague she was worried about what the virus could do to her baby. Even if there was no damage, she said, they might have to take the baby after birth to isolate her.

Courtney said that her colleague looked at her across the desk and said: “I’m not worried about it.”

She sat across from Courtney unmasked for the next 30 minutes.

Two weeks later, Courtney’s doctor wrote her another, sterner note: “It is my professional opinion that due to the lack of support for CDC recommended mask wearing indoors, please allow Courtney to work from home for the remainder of her pregnancy.”

Courtney forwarded it to her boss. He replied that he would remind the colleague who had sat in her office unmasked to follow the policy. But she still had to come in to work. They needed staff consistency.

She is due within the month.

If it looks like we’ve forgotten each other’s humanity, it’s because we’ve evolved to do so.

Humans are tribal creatures, and our responses to the pandemic have been tribalized almost since the beginning: A Pew Research poll from June 2020 found support for masking divided along partisan lines. Almost a year after the Pew poll, Fox News host Tucker Carlson urged his supporters toconfront people wearing masks.

Because the mask has become so polarizing, the extreme reactions aren’t really about being asked to wear one for an hour. It’s about communicating what side you’re on.

David Chester, a psychology professor at Virginia Commonwealth University who studies aggression, puts it this way: If you see members of the opposing group as human like you, you’ve failed as a tribalist.

“It really makes adaptive sense to treat out-group members not like people, because then it’s much easier to hurt them and to act against them,” he said. “One central piece of intergroup conflict is a switch in viewing your enemies from full-blown humans to dehumanized entities that you do not ascribe all the things that you typically ascribe to a person. That makes conflict so much easier.”

Seeing someone else wear a mask in a grocery store becomes what Chester calls “a threatening proposition from an out-group member.” It triggers anger. And giving in to anger can feel good — especially after months of frustration.

In a viral incident from June 2020, a woman who has cancer was shopping in a Florida Pier 1 when she had a confrontation with another shopper, later identified as Debra Jo Hunter. The incident culminated in Hunter, maskless,coughing in the woman’s face. In a virtual sentencing hearing nine months later, as Jacksonville’s First Coast News reported, Hunter submitted 23 pages of threats that she and her family had received. Hog from hell. I hope your whole family gets COVID and suffers immensely, then dies. Kill yourself.

Hunter’s husband testified on her behalf. It had been a hard couple months leading up to the incident, he said. They’d had a house fire and lost most of their possessions. A family member had been in a boating accident.

No one from the family responded to requests for comment.

“It was like air being inflated into a balloon, and it finally got to the point where she couldn’t handle any more air,” Hunter’s husband testified. “And then she finally rubbed up against something and just popped.”

In a treatise on tempering strong reactions, a prominent intellectual wrote: “I thought the first step was to free a man from his passions.”

The paper was written sometime around the turn of the third century. The author was philosopher-slash-medical writer Claudius Galenus, known today as Galen.

Two millennia later, the fundamental idea holds true. It’s one of the main tools in modern-day cognitive behavioral therapy: Learn how to pull yourself back from getting swept away by strong feelings, and then evaluate the situation with your rational side.

“There’s a lot of research that says that if people think about injustice from a first-person perspective, they’re more likely to respond aggressively,” said Tracy Vaillancourt, a professor at the University of Ottawa specializing in children’s mental health and violence prevention. “If they think about injustice from a third-person perspective, they’re less likely to be aggressive. And it’s because, in a sense, now they pulled back and are able to take the perspective of both parties that are involved.”

On a societal scale, one of the fastest ways for two deeply entrenched, opposing groups to start seeing each other as fellow humans again is to give them something bigger to fight against together. It’s an “Independence Day” sort of scenario, Chester, the Virginia Commonwealth University professor, said: If aliens invaded, countries who hate each other in normal times would suddenly work together against an external threat.

But the external threat with the potential to unite a deeply polarized country, he said, should have been the pandemic. And it didn’t happen.

“I think fundamentally, it’s because we have different perceptions of this pandemic,” he said. “It’s really hard now that it’s so entrenched, that masks are viewed as this group symbol. It’s really hard to get people out of that.”

It’s possible that signals from authority figures — at least the ones you already trust — could sway individual behavior, Chester said. Then again, former President Donald Trump got booed at an August rally in Alabama after suggesting that his followers get vaccinated.

When Skitka, with the University of Illinois at Chicago, saw Trump get booed, she thought it might be too late for even political leaders to temper their constituents’ passions. “We’re still trying to figure out what will work,” she said.

Kurt Thigpen resigned from the Washoe County School District on May 24, citing medical reasons. Later, he wrote an op-ed explaining what he really meant. The anxiety and the panic that had been triggered by the school board meetings had mutated into passive suicidal ideation. Even when the board transitioned to virtual meetings, he could barely get out of bed and make himself presentable for Zoom. He wished he could stop existing. No job was worth that.

“I thought I had things handled,” he wrote, “but my coping skills were no match for the events of the last seven months.”

He had sought therapy and worked with a psychiatrist to find medication. He got diagnosed with ADHD. He learned new coping mechanisms.

The initial reaction was positive. People were angry on his behalf. They wished him well. They thanked him for his openness.

And then the op-ed was mentioned in anAssociated Press article on toxic school board meetings around the country. Thigpen had no idea until a friend on the city council texted him. His original op-ed got reshared on Facebook. The commenters rushed in.

“What a whiney person,” someone wrote.

“Where do these woke zombies come from?”

“I have a lot to say to this young fragile individual.”

“Perfect example of a PACB= Professional Adult Cry Baby”

“You have no idea how badly I wanted to stop reading that article, but he is such a trainwreck of an individual I couldn’t stop,” one woman posted. She added: “You know, upon re-reading my post, I apologize for being so cruel. Clearly this man is severely mentally disabled and belongs in an institution.”

No one, Thigpen said, has reached out to apologize.

Originally published on ProPublica by Sarah Smith and republished under a Creative Commons License (CC BY-NC-ND 3.0)

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Read ‘The Power of the Dog’ coming soon as a Netflix FIlm starring Benedict Cumberbatch and Kirsten Dunst

The Western novel The Power of the Dog is set in the 1920’s in Montana.  The story follows the domestic drama of two brothers, one of which has a wife and young son and is arriving back to his brothers ranch.

The novel is intense, brutal, and author Thomas Savage does an amazing job at holding the readers captive and on the edge of their seat (couch, beach?, Bed?), desperately wanting to know what will happen next.

Ultimately the triangle makes for intense romantic drama, likely why it was such a successful choice for the adaptation into a full length feature motion picture and attracted such marquee star power in Benedict Cumberbatch and Kirsten Dunst, not to mention a fabled director, Jane Campion.

Even before the debut screening in Venice the film had buzz and respect, in large part due to the stature of the original novel and the choice of director and cast tapped to bring the story and characters to life. The project has been hailed as an example of how successful streaming platforms, such as Netflix, HBO Max, etc, can contribute to the future history of bonafide feature length cinema in the Hollywood tradition.

The 2001 classic that includes an afterword from Annie Proulx due to be released this fall both in theaters and to stream on Netflix. One in which recently was shown on September 1, 2021 at the 78th edition of the Venice Film Festival and met with a 4 minute-plus cheering and applause-filled standing ovation. 

We recommend you take the opportunity to enjoy the book and celebrate the theatrical release on November 17, or in anticipation to the release by streaming platform Netflix which is slated to go line on December 1st, 2021. 

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Your Apple Wallet will now be able to include Driver’s License and State IDs

Above: Photo / Apple

iOS 15 and WatchOS 8 to expand Features in your Digital Wallet for select states to start soon

Back in June at the WWDC21, Apple announced it was working, along with the Transportation Security Administration (TSA), on a new feature that will allow Apple users to replace things in our physical wallet like Driver’s Licenses/State Identification. 

The company has now announced that 8 states will take part in the roll out of the feature of users adding their’s licenses to the Apple Wallet (available for iPhone and Apple Watch) to use for airport travel at some participating airports.

There are also various apps and programs in each state for storing vaccination ID status information on the iPhone and this will also eventually, in many cases, migrate to the wallet app. The driver’s license and state ID upgrade, is a very big step, however, as this paves the way for the phone to have wallet status no less valid than a physical wallet full of IDs and credit-cards.

Arizona, Connecticut, Georgia, Iowa, Kentucky, Maryland, Oklahoma and Utah will be among the first states to utilize the capability. Although at this time there is no specific date for timeline.

Just in time for back for in person learning season

This coming school year, for schools within the U.S. and Canada, Apple will offer mobile Student IDs via Apple Wallet, allowing for students to access campus buildings or make school related purchases without having to hold on to a physical card.

The new ID feature will be available with the iOS15 iPhone software update scheduled for release this fall.

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There are a TON of new films going live on Netflix starting September 1st

As the end of one month ends and another begins, that means many things, but for the Netflix streaming platform, is always means an influx of new content. In this case we are referring to new “classic” content, not including the the extraordinary amount of new movies Netflix plans to release now until the holidays.

Whether its TV shows, movies, Netflix originals, both old and new, we’ve compiled a huge list of everything that is coming to Netflix starting the first of September.

The list combines, truly, a digital smorgasbord of things to watch from classic movies like “Blade Runner”, documentaries including “Blood Brothers: Malcolm X and Muhammad Ali” or Netflix Originals like “Kate” and “Midnight Mass”. With the selection sometimes feeling stale after a month it is good to get a refresh!

The list is a freaking long one, with over 40 plus titles, some becoming available within hours of this writing. So, without further ado, here are the shows that lie just ahead in your Netflix-future:

Available September 1

How to Be a Cowboy (Netflix Series)

Turning Point: 9/11 and the War on Terror (Netflix Documentary)

A Cinderella Story

Agatha Christie’s Crooked House

Barbie Big City Big Dreams

Blade Runner: The Final Cut (1982)

The Blue Lagoon (1980)

Chappie

Clear and Present Danger

Cliffhanger

Cold Mountain

Crocodile Dundee in Los Angeles

Dear John

Do the Right Thing

Freedom Writers

Green Lantern

House Party, House Party 2, House Party 3

The Interview

Kid-E-Cats, season 2

Labyrinth

Letters to Juliet

Love Don’t Cost a Thing (2003)

Mars Attacks!

Marshall

Mystery Men

The Nutty Professor, The Nutty Professor II: The Klumps

Once Upon a Time in America

Open Season 2

Rhyme & Reason

School of Rock

Tears of the Sun

Welcome Home Roscoe Jenkins

Available September 2

Afterlife of the Party (Netflix Film)

Final Account

Q-Force (Netflix Series)

Available September 3

Dive Club (Netflix Family)

Money Heist Part 5: Volume 1 (Netflix Series)

Sharkdog (Netflix Family)

Worth (Netflix Film)

Available September 6

Countdown: Inspiration4 Mission to Space (Netflix Documentary)

Available September 7

Kid Cosmic, season 2 (Netflix Family)

Octonauts: Above & Beyond (Netflix Family)

On the Verge (Netflix Series)

Untold: Breaking Point (Netflix Documentary)

Available September 8

The Circle, season 3 (Netflix Series, new episodes weekly)

Into the Night, season 2 (Netflix Series)

JJ+E (Netflix Film)

Available September 9

Blood Brothers: Malcolm X & Muhammad Ali (Netflix Documentary)

The Women and the Murderer (Netflix Documentary)

Available September 10

Firedrake the Silver Dragon (Netflix Family)

Metal Shop Masters (Netflix Series)

Pokémon Master Journeys: The Series (Netflix Family)

Prey (Netflix Film)

Yowamushi Pedal, Yowamushi Pedal Grande Road

Kate (Netflix Film)

Lucifer, final season

Available September 13

Countdown: Inspiration4 Mission to Space (Netflix Documentary)

Available September 14

A StoryBots Space Adventure (Netflix Family)

Jack Whitehall: Travels With My Father, season 5 (Netflix Series)

The World’s Most Amazing Vacation Rentals, season 2 (Netflix Series)

You vs. Wild: Out Cold (Netflix Family)

Available September 15

Nailed It!, season 6 (Netflix Series)

Nightbooks (Netflix Film)

Saved by the Bell, seasons 1–9

Schumacher (Netflix Documentary)

Too Hot to Handle Latino (Netflix Series, new episodes weekly)

Available September 16

He-Man and the Masters of the Universe (Netflix Family)

Jaws, Jaws 2, Jaws 3, Jaws: The Revenge

My Heroes Were Cowboys (Netflix Documentary)

Available September 17

Ankahi Kahaniya (Netflix Film)

Chicago Party Aunt (Netflix Series)

The Father Who Moves Mountains (Netflix Film)

Sex Education, season 3 (Netflix Series)

Squid Game (Netflix Series)

The Stronghold (Netflix Film)

Available September 19

Dark Skies

Available September 20

Grown Ups

Available September 21

Go! Go! Cory Carson: Chrissy Takes the Wheel (Netflix Family)

Love on the Spectrum, season 2 (Netflix Series)

Available September 22

Confessions of an Invisible Girl (Netflix Film)

Dear White People: Volume 4 (Netflix Series)

Intrusion (Netflix Film)

Jaguar (Netflix Series)

Monsters Inside: The 24 Faces of Billy Milligan (Netflix Documentary)

Available September 23

Je Suis Karl (Netflix Film)

Available September 24

Blood & Water, season 2 (Netflix Series)

Ganglands (Braqueurs) (Netflix Series)

Jailbirds New Orleans (Netflix Series)

Midnight Mass (Netflix Series)

My Little Pony: A New Generation (Netflix Family)

The Starling (Netflix Film)

Vendetta: Truth, Lies and The Mafia (Netflix Documentary)

Available September 28

Ada Twist, Scientist (Netflix Family)

Attack of the Hollywood Clichés! (Netflix Comedy Special)

Available September 29

The Chestnut Man (Netflix Series)

Friendzone (Netflix Film)

MeatEater, season 10, part 1 (Netflix Series)

No One Gets Out Alive (Netflix Film)

Polly Pocket, season 3, part 1

Sounds Like Love (Netflix Film)

Available September 30

Love 101, season 2 (Netflix Series)

Luna Park (Netflix Series)

The Phantom

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These 8 Netflix Movies are Gone after tonight- August 31, 2021

These Movie gems are about to be ….. Gone!

Some big-name movies are set to be removed from the streaming platform as it makes way for the new Sept 1st arrivals. Among the soon to be departed (including, ironically, The Departed!) there is something for everyone and it would be a real shame to miss out on anyone of these titles, especially if you have never seen them.

Whether comedies staring the likes of John Goodman, Jeff Bridges, Reese Witherspoon or Jonah Hill, or a drama on the making of Facebook with Justin Timberlake and Jesse Eisenberg, a love story with Kiera Knightley, or a scary movie like “The Ring”, these diverse movie selections, iconically, each in their own right and unique reasons, are a must watch.

Trailers of each are below:

The Departed

Election

The Big Lebowski

Chinatown

The Social Network

Love Actually

The Ring

Superbad

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Musk is developing a Humanoid Tesla Bot with a Screen-face

Photo Credit / Tesla

At the end of Tesla’s AI Day presentation, Musk revealed an unexpected new product, the Tesla Bot.

The humanoid robot would be 5’8″ tall and its main purpose, according to Musk, would be to eliminate dangerous, repetitive, and boring tasks. The prototype is expected to be available some time next year.

The CEO also made a typically bold statement about the future and AI, saying “Essentially, in the future, physical work will be a choice. If you want to do it, you can, but you won’t need to do it.”

Elon finished with an invitation for engineers to join the Tesla team to build the robot.

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‘They should be worried’: will Lina Khan & the FTC take down big tech giants?

Photo by Annie Spratt on Unsplash



There’s a storm brewing and tech mega-monsters like Amazon, Google & Facebook know it

Practically since the day that Lina M. Kahn was appointed chair of the FTC, big tech giants have shown that they are worried. Both Amazon and Facebook filed suits asking that she recuse herself almost immediately.

Khan’s famous 2017 article; “Amazon’s Antitrust Paradox“, published in the Yale Law Journal was both the obvious initial catalyst to her becoming chair of the FTC and also Amazon being unhappy that she would be at the helm of the FTC while antitrust actions are being brought against them.

The idea of removing her would have obvious appeal for those that fear her dedication to a new antitrust stance at the FTC, one that no longer allows digital behemoths to skate, monopolize and grow unchecked. But there is likely little chance that they can get her off their metaphorical backs that easily.

As per the Guardian: “Khan does not have any conflicts of interest under federal ethics laws, which typically apply to financial investments or employment history, and the requests [for her recusal] are not likely to go far.”

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Now Open: Apple’s Lavish New Store in the Heart of Downtown LA

Above: Photo Credit / Apple

A stunning historic renovation comes to life

The Apple Tower Theater is officially open and marks one of Apple’s most significant and iconic restoration projects. The company worked alongside restoration artists and the City of Los Angeles in order to preserve the theater which was originally designed back in 1927 by architect Charles Lee.

CEO Tim Cook was in attendance of the grand opening alongside Retail Chief Deirde O’Brien. He took many pictures and selfies with attendees and welcomed the first customers into the Downtown Los Angeles Store.

Customers were excited to explore the Apple Tower Theatre and took the opportunity to snap photos of the beautifully restored arches, as well as getting their hands on the latest products like the iMac, iPad Pro and new iPhone 12.

Though many ambitions and luxurious Apple Stores have be build, including the biggest in NYC, Apple Fifth Avenue, and more recently Apple Store Singapore (see video below), the new downtown LA location is unique in that it simultaneously reincarnates an amazing former mecca for filmmaking and Hollywood glamour and also reimagines it in a compatible and yet up-to-date style.

As the company has surpassed $2 trillion in market capitalization, and is the largest of the big tech giants, the emphasis on community, yet in a beautiful, luxurious setting, is befitting of this giant, yet often underestimated behemoth.

Apple Tower Theatre will be open from 10 a.m. to 8 p.m. from Monday to Saturday, and 11 a.m. to 7 p.m. on Sunday. The Tower is located on the corner of Eighth and Broadway: 802 S Broadway, Los Angeles, CA 90014.

Above: Photo Credit / Apple

https://www.apple.com/newsroom/videos/tower-theatre/Tower_Trailer_Edit-cc-us-_1280x720h.mp4
Above: Apple Produced Video Showing the Amazing New Location in LA

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A ‘Ring of Fire’ Solar Eclipse Starts Thursday Dawn on east Coast

Above: Photo Credit / Bryan Goff / UnSplash

Look to the sky for a solar show that will create a stunning glow…

Stargazers and skywatchers are in for another treat, which come about two weeks after the lunar eclipse, also referred to as the “Super Flower Blood Moon”. Tonight and into Thursday, June 10th, an annular solar eclipse called “ring of fire” will be visible. Any discussion of all things lunar, blood moons and eclipses would certainly be congruent with a taste of the astrological perspective.

Unfortunately this time around, no parts of the United States will get to see the full eclipse, however some metropolitan areas like Toronto, Philadelphia and New York will be able to view a partial eclipse a little after the sunrise on Thursday morning.

Getting to see a partial eclipse looks kind of like the sun has a portion taken out of it. In total, this eclipse will last around 1 2/3 hrs (approximately 100 minutes) as it starts at sunrise in Ontario, Canada.

If you aren’t exactly clear on what a solar eclipse is, an annular eclipse occurs when the Moon is farthest from Earth. And because the Moon is far away it appears smaller. The Moon does not block the entire view of the Sun and thus creates the appearance of a ring around the Moon.

Check out additional detailed information and maps about the eclipse operated by retired NASA astrophysicist Fred Espenakly.

The word annular comes from the Latin word for ring. Since the Moon covers the sun’s center and what is left forms a ring, hence the name “ring of fire”.

If you are one of the lucky folks situated along the East Coast and Upper Midwest and want to catch a glimpse at the partial eclipse, it is strongly recommended to use solar eclipse glasses and to not look directly into the sun as it may cause permanent damage to your eyes.

Don’t fret if you aren’t able to experience the upcoming solar eclipse. This summer we have a couple more opportunities to gaze above. There is set to be a Supermoon June 24, a Meteor Shower on July 28, and the Blue Moon come August 22.

We have a couple years until the next total solar eclipse in the United States, in April 8, 2024, weather permitting.

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Public Policy meets Pop Culture in ‘While Justice Sleeps’: Stacey Abrams’ political thriller

Above: Photo Collage / Lynxotic / Doubleday

Multi-talented author and political force of nature

Hearing the name Stacey Abrams, you’d likely think of a woman who ran for governor in 2020 in Georgia, or the role she played in registering hundreds of thousands of voters and becoming a Democratic power broker. You might be surprised to learn that before she was well known in the political realm, Stacey Abrams wrote romance novels, under the nom de plume “Selena Montgomery”.

Abrams has also written non-fiction, including “Lead from the Outside” and Our Time is Now“. And now, in an interesting departure from previous works, her newest book is a political thriller. This is her 11th book, under her various names, but it is the first work of fiction published under her real name.

Recently the news broke that her novel is going to be adapted for a TV series to be produced by NBC Universal International Studios.

We provide a look at  “While Justice Sleeps“, by Stacey Abrams, below, along with a description, provided courtesy of the Bookshop (and the publisher), along with some links for a variety of purchasing options.

While Justice Sleeps

Avery Keene, a brilliant young law clerk for the legendary Justice Howard Wynn, is doing her best to hold her life together–excelling in an arduous job with the court while also dealing with a troubled family.

When the shocking news breaks that Justice Wynn–the cantankerous swing vote on many current high-profile cases–has slipped into a coma, Avery’s life turns upside down.

She is immediately notified that Justice Wynn has left instructions for her to serve as his legal guardian and power of attorney. Plunged into an explosive role she never anticipated, Avery finds that Justice Wynn had been secretly researching one of the most controversial cases before the court–a proposed merger between an American biotech company and an Indian genetics firm, which promises to unleash breathtaking results in the medical field.

She also discovers that Wynn suspected a dangerously related conspiracy that infiltrates the highest power corridors of Washington. As political wrangling ensues in Washington to potentially replace the ailing judge whose life and survival Avery controls, she begins to unravel a carefully constructed, chesslike sequence of clues left behind by Wynn. She comes to see that Wynn had a much more personal stake in the controversial case and realizes his complex puzzle will lead her directly into harm’s way in order to find the truth. 

While Justice Sleeps is a cunningly crafted, sophisticated novel, layered with myriad twists and a vibrant cast of characters. Drawing on her astute inside knowledge of the court and political landscape, Stacey Abrams shows herself to be not only a force for good in politics and voter fairness but also a major new talent in suspense fiction.

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Floodgates are Opening on The Truth of Trump: ‘Madman’, ‘Racist, Sexist Pig’ and ‘F*cking Lunatic’

Above: Photo Collage / Lynxotic / Random House

Quotes from new book are illuminating to say the least

In a report from The Guardian, based on pre-release galleys of “Battle for The Soul” written by Atlantic staff writer Edward Isaac-Dovere, the private exchanges about Trump bore little resemblance to the public niceties and careful self-censoring that went on during “the former guy’s” disastrous reign from the Oval Office.

According to the excerpts shared with The Guardian, in direct quoted pages former President Obama slammed Trump throughout the 2016 campaign and during 45’s term in office. According to Atlantic staff writer Edward Isaac-Dovere in his forthcoming book. Obama referenced Trump as a “madman”, “lunatic”, “racist”, “sexist pig” and a “corrupt motherfu–er”.

More often: ‘I didn’t think it would be this bad.’ Sometimes: ‘I didn’t think we’d have a racist, sexist pig.’ Depending on the outrage of the day … a passing ‘that fucking lunatic’ with a shake of his head.”

obama Quoted in “battle for the soul” by Edward-Isaac Dovere

Obama isn’t the only person that has something unflattering to say about the Trump, as news that the New York attorney general’s office will be going forward with a now-criminal investigation of the Trump Organization, Michael Cohen, the former personal lawyer and fixer for 45 hilariously tweeted Don behind bars:

We’ve provided a look at   Battle for the Soul , by Edward-Isaac Dovere, below, along with a description, provided courtesy of the Bookshop (and the publisher), along with some links for a variety of options where to purchase.

Battle for the Soul: Inside the Democrats’ Campaigns to Defeat

The 2020 presidential campaign was a defining moment for America. As Donald Trump and his nativist populism cowed the Republican Party into submission, many Democrats–haunted by Hillary Clinton’s shocking loss in 2016, which led to a four-year-long identity crisis–were convinced he would be unbeatable.

Their party and the country, it seemed, might never recover. How, then, did Democrats manage to win the presidency, especially after the longest primary race and the biggest field ever?

How did they keep themselves united through an internal struggle between newly empowered progressives and establishment forces–playing out against a pandemic, an economic crisis, and a new racial reckoning? 

Edward-Isaac Dovere’s Battle for the Soul is the searing, fly-on-the-wall account of the Democrats’ journey through recalibration and rebirth.

Dovere traces this process from the early days in the wilderness of the post-Obama era, though the jockeying of potential candidates, to the backroom battles and exhausting campaigns, to the unlikely triumph of the man few expected to win, and through the inauguration and insurrection at the Capitol. 

Dovere draws on years of on-the-ground reporting and contemporaneous conversations with the key players–whether in Pete Buttigieg’s hotel suite in Des Moines an hour before he won the Iowa caucuses or Joe Biden’s first-ever interview in the Oval Office–as well as aides, advisors, and voters.

With unparalleled access and an insider’s command of the campaign, Battle for the Soul offers a compelling look at the policies, politics, people and the often absurd process of running for president. This fresh and timely story brings you on the trail, into the private rooms and along to eavesdrop on critical conversations. You will never see campaigns or this turning point in our history the same way again.

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