It's extremely odd to characterize all modern management as Taylorism from the outset. The post seems to be flogging a strawperson argument and concluding with a summary of what I think is a fairly broad consensus about what modern management of knowledge workers actually looks like: finding competent people, setting rich context and providing frequent and actionable feedback.
The way this is phrased, I expected to learn there was some benefit to a low amount of fraud, as such. There is not. There is a benefit to a high amount of trust, which necessitates accepting some amount of fraud.
This is lacks a strong causal analysis. We still don't understand why polls are consistently undershooting Trump support. Given the performance of polls in 2018, it seems highly correlated to Trump's presence on the ballot, and unclear if it will recur in a future presidential election. Ascribing better analysis to markets than polls requires us to ask "how?", and there isn't a clear mechanism.
The OP was edited in response to this, but I'm still mystified. I'm not making a particular claim about anything other than the experience of Black people in America, so I don't see how the question is relevant.
There are a lot of replies here asking about correlation with non-racial factors such as economics or crime. The fact of the matter is that Blacks in America are poorer, suffer higher rates of unemployment, lower educational attainment and are forced to live in higher crime areas as the result of decades of racist housing policies and centuries of oppression. This is reflecting that legacy. Black people pay many different taxes merely for being Black in America, this is just another in a long list. As another example, Black people pay higher tax rates due to higher relative property assessments (https://www.washingtonpost.com/business/2020/07/02/black-pro...).
Agreed. There's very little evidence to support the claims about what is discussed here is what made Stripe successful. Intuitively many of the claims seem true but where is the data?