My friend @itsafronomics wanted to know the breakdown of student debt by income, so I pulled data from the SCF.

Student debt is more concentrated amongst high earners, but disproportionately amongst Black borrowers. The plot below plots the average within Income Quartiles.
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This is premature, but I want to walk you though why some of the charges coming through are incredible significant. This is one of the recently unsealed complaints.

1512(b) is a very, very strong crime. Section 1512 is about obstruction of the administration of justice. The statute is supposedly about disrupting court proceedings, but it's broader. The way it's written, Congressional Proceedings count.

The statutory maximum for a single violation of 1512(b) is 20 years in prison. That's a lot. Most related federal crimes—231 civil disorder, 2101 riots—are only 5 years on the top end.

But that's not all.

See, federal sentencing is done via a complicated formula that computes sentencing guidelines.

Sentencing guidelines are based on the statute, the elements of the criminal offense, and the defendant's criminal history. It also factors in things like if the defendant takes responsibility, and takes a plea deal, etc.

has anyone covering the Wall Street GME reaping and sowing gone into the fact that a lot of the GameStop and directly associated trades have been largely amplified by social listening powered mega firms doing machine learning automated trades because the “idea” of GME is popular?

like I thought this was a thing investor people & press just knew & instead it’s all just focused on the message of redditors clowning short sellers and not “the computers saw the infinite monkeys on infinite typewriters and decided That Would Be A Cool Thing To Emulate” for $$$

for those new: finance social listening is a marketing “science” that involves advanced web & social network data collectors scraping everything for nuance on companies, purchasing behavior & language, investor & finance sentiment, etc & using it to make billions of trades for $$

Musk & his core investor clique is notorious for doing this as are some other big hedge firms & finance firms - you take the raw off Bloomberg Terminal, Superdata, public social networks and headlines etc etc, machine learning the fuck out of it, collect money. A hype machine.

This has been going on for about 8 years but only got popular & competitive in the past 2, when firms realized the machines could do a better job with these data flows in setting up short term shorts & holds vs people - & they could also “game” media to effect other hype machines

1. “Who Are Ireland’s Members Of The World Economic Forum Implementing The Great Reset In 2021 ? 🧵1/28

🕵️🔎 Politicians, Musicians, Clergy, Bankers, Journalists, Human Rights, Artificial Intelligence, Sustainability, Corporations & Agriculture

2. In previous threads I have looked at 🇮🇪 key players in the Trilateral Commission as well as 🇮🇪 people who have attended the Bilderberger meetings. I also looked at the 🇮🇪 in the Young Global Leaders which is a site run by the WEF. You will see a lot of crossover between them.

3. The purpose of this thread is to compile all the Irish members into one thread for ease of access and reading rather than having to dive through the WEF site. This is by no means definitive and I will be adding more over time when they pop out of the woodwork.

4. Ireland’s WEF members are drawn from all walks of life but can be split into 2 separate areas. The WEF calls the first category “people” and the 2nd one “agenda contributors”. In total Ireland has a minimum of 61 members. Some of the names will be familiar and others will not

5. In this thread I’m just going to concentrate on the 21 people (there are probably a lot more). There are also 40 “agenda contributors” which I will cover in a separate thread. The agenda contributors are those who write articles or do research for the WEF site.