Income by race converged at the greatest rate between 1940 and 1970.

However, as of 2018, Black/white income disparities were almost exactly the same as they were in 1968, 50 years

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) Let's talk about a key part of the Chinese creator economy. The creator management and incubator agencies known as Multi-Channel Networks (MCN). We''ll summerise key lessons for the western creator economy.

And know how Li Ziqi got her 12m YouTube subscribers

2) MCNs are modern-day talent agencies (but more) who target influencers and creators as their clients. It originated in the US but has proliferated in China, with industry estimates of 5k-7k Chinese MCN operating as of 2020.

3) Typically, as creators gain enough following, they find it difficult to be an-all-in-one content creator, editor, customer support rep, accountant, lawyer, and marketing guru that the job demands.

Enter the MCNs who offers the creator the following:

4) Audience and traffic growth, PR management, monetisation through ads & e-commerce and support with retail fulfillment.

Their services are more holistic than western MCNs, who's offerings are more domain-specific.

5) Agreements between Chinese MCNs and creators can get into guarantees of the number of followers provided, copyrights, subtitling and distribution help, as well as providing analytical feedback on their content.

0/ A holiday economic theory reading list. Some of my favorite pieces on theory that can be read with minimal sweat, but with the maximal intellectual reward. In no particular order:

1/ Myerson 1999. "Nash equilibrium & history of economic theory." JEL. Written with characteristic Myersonian elegance. "how a few short papers by a young mathematician achieved one of the great watershed breakthroughs in the history of social

2/ Blackwell & DeGroot 1986. “A conversation with David Blackwell.” Stat Science. After his PhD at 21, "There were 105 black colleges at that time & I wrote 105 letters of application." Beautiful discussion on a gamut of ideas & his intellectual life.

3/ Geanakoplos 1992. “Common Knowledge.” JEP. Zuper piece, lucidly written. Lots of interesting puzzles, great for teaching. When Moriarty says "All I have to say has already crossed your mind," Holmes retorts "then possibly my answer has crossed yours."

4/ Morris 1995. "The common prior assumption in economic theory.” E&P. This beauty was Stephen's first chap of PhD thesis! Does rationality imply CP? Does relaxing CP make theorizing uninteresting? Is failure of CP a failure of information processing?

1. Ok, so most people have a vague sense of frustration that the last Dem administration didn't do enough on the economy. But it's still just a vague sense. So my org wrote a report showing in detail, industry sector-by-sector, what policymakers did wrong.

2. We also wrote one pager descriptions of every sector. For instance, in media and telecommunications, there were multiple massive mergers (Comcast-NBC, Disney's roll-up, Charter-Time Warner).

3. Consequences were bad. The median weekly compensation of writer-producers on television and online series declined 23 percent between 2014 and 2016 despite record profits in the industry and peak demand for programming.

4. Health care, consolidation was bad. "From 2010 to 2015, Sanofi, Novo Nordisk, and Eli Lilly raised their insulin prices by 168 percent, 169 percent, and 325 percent, respectively; the three are essentially the only manufacturers of insulin in the U.S."


5. Newspapers, same story. Since 2005, America has lost 2,100 newspapers, one fourth of its total, leaving 1,800 communities without any local news coverage whatsoever.

To see how the innovation economy has left much of the US behind, we traveled to the small town of Bryan, in northwestern Ohio's Williams County. This is a thread about how to fix what the innovation economy broke about America.

This is Valerie. She’s 46 and has worked all her life—three jobs currently—yet she has just $65 in her checking account. Her husband works full time at a metal fastener plant.

Altogether, after health insurance premiums but before taxes, Valerie and her husband make about $45,000 a year.

The story of her working life is also the story of Bryan. The town is broken in some of the same ways that much of the rest of the country is broken. Understanding what broke Bryan is crucial to understanding how it might be fixed.

For decades, America’s political and business leaders acted as if places like Bryan didn’t matter.