Thread summarizing what we've learned so far of the Fauci/Collins email dump on the Great Barrington Declaration:
It starts on 10/14/20 when Collins instructs Fauci and his staff to "take down" the GBD and the "fringe" scientists behind it.
Fauci responds immediately by circulating an article against the GBD from that austere scientific authority, @WiredUK.
The Fauci-endorsed Wired article is noteworthy for having one of the single worst hot-takes of the entire pandemic. It declared in October 2020 that the GBD should be ignored, because lockdowns were a thing of the past and would not be returning!
The next day, Fauci sends Collins an angry rant against the GBD in the @thenation by @gregggonsalves.
Collins approves.
Far from a scientific study refuting the GBD, Gonsalves's article is a political op-ed attacking @jacobin magazine for breaking "solidarity" with other far-left media outlets on lockdowns. Why? Because Jacobin ran an interview with @MartinKulldorff on how lockdowns hurt the poor.
Over the weekend, Collins launches the smear campaign against the GBD in the Washington Post.
Collins and Fauci email each other about the WaPo hit, with Fauci quipping that the White House was "too busy with other things to worry about this" - perhaps an election reference? - and therefore would not push back on the anti-GBD campaign.
In the meantime, Gonsalves also gets in contact with Collins to volunteer his services (along with future @CDCDirector Rochelle Walensky) to attack the GBD in the media.
Collins approves, and forwards it to Fauci and a bunch of NIH underlings.
In the meantime, @gregggonsalves was having a public meltdown against the GBD on twitter.
The emails get murky around 10/14/20, because the NIH redacted a bunch of emails that appear to be between Fauci and Collins.
Surrounding context suggests they were discussing how to trash the GBD if it came up at the WH Covid task force meeting on 10/16.
On the morning of the Covid task force meeting, Fauci sends Deborah Birx this email alerting her about the need to oppose the GBD at the meeting. The unredacted part suggests they are preparing to attack @ScottWAtlas, who was perceived as the task force's champion of the GBD.
10/16/20 is as far as I've gotten in piecing together the story of what happened. Still more documents to go through, including some more explosive revelations about where Fauci was getting his anti-GBD talking points. So stay tuned!
*typo in the above. The first email about "taking down" the GBD was on 10/8/20 - three days after the GBD broke into the news and went viral.
This exact same pattern may be found for almost every trendy jargon term from academia.
It starts as an obscure proprietary concept on the Marxist far-left fringes of the professoriate. Then from about 2015 onward, it's everywhere.
Two simultaneous trends explain why:
1. Starting around 2000, the academy shifted hard-left. With this shift, low-rigor ideological dreck from the Critical Theory fringe became the dominant perspective.
2. Journalism followed academia in adopting & promoting the same concepts.
Related example: the sudden "discovery" of misinformation/disinformation around 2016.
Both terms existed before then, but the academic left and elite journalism settled on them as a tactic to describe and discredit any/all dissenting arguments..
Academic leftists: "The reason academia skews left is because we do better research & reality has a left wing bias!"
Also academic leftists: "Here's my CV. I mainly do postcolonial ethnographies of how neoliberal capitalism oppresses indigenous Marxist sex workers in Greenland."
Academic leftists: "Our department won't hire anyone on the right because their research isn't good enough, according to us."
Also academic leftists: "Here's my CV. I mainly write Marxist cat poetry using a critical theory lens. Sometimes my cat is credited as the coauthor."
Academic leftists: "Our department only has leftist students because applicants on the right aren't good enough."
Also academic leftists: "Here's our admissions app. You will be evaluated mainly on whether your DEI statement agrees with intersectional critical theory."
🧵Thread on @gabriel_zucman's claim that billionaires pay a lower tax rate than the average American, as published in yesterday's @nytimes.
The short version: Zucman manipulates his data to fit a pro-tax political narrative. You can see this by comparing to his own earlier work.
In 2018 Zucman (along with Piketty and Saez) published an article in the prestigious Quarterly Journal of Economics, estimating the avg effective tax rate on top income groups. They argued that the gap between top and bottom earner tax rates had closed due to payroll taxes.
But they also noticed something interesting when you look at the average effective tax rate paid by the wealthiest 1% of earners. It had only slightly decreased between the 1960s and the present!
The NY Times article about billionaire tax rates is engaging in intentional deception.
Graph below shows his original published statistics in blue vs. what he told the NYT in orange. The change came from manipulating how he assigned corp tax incidence.
Its author Gabriel Zucman is also engaging in another deception by reclassifying unrealized capital gains as "income."
The problem: that's not what the tax code or the constitution say.
Income is governed by the realization principle, meaning it must be earned to be taxed.
This isn't the first time Zucman has used this same sleight of hand.
5 years ago he got the WaPo to run the billionaire tax rates chart. He contradicted his own published data, and even briefly deleted his data files from his website to hide that fact. I called him out then.
Zucman's own statistics (before he manipulated them for the New York Times by altering tax incidence to support his narrative) show the top 1%'s average tax rate has barely changed since 1962. #communitynotes
Here are Zucman's own stats before he manipulated them to fit his story.
1962 tax rate was 39%. 2014 was 36%.
(Note: I omitted PSZ's pre-1960s data because it is basically junk, extrapolated from poorly-rendered income distribution estimates by Piketty and Saez. These data are riddled with accounting errors that render them basically useless)
Top 10% income share in the US using different approaches and sources. As usual, the Piketty-Saez (blue) is the outlier and presents an exaggerated depiction of rising inequality. 1/
Note that there are differences in the series & sources.
Piketty-Saez and Geloso-Magness are from IRS tax data. Geloso-Magness is generally lower because it corrects for accounting and data entry errors in Piketty-Saez, reducing overall inequality. 2/
Auten-Splinter is a more comprehensive measure that includes both income earnings (e.g. IRS) and imputed income from national accounts for non-tax sources.
The Social Security figure is a combo of 2 series using similar methods (Kopczuk-Song through 2007 and EPI's extension) 3/