Console #17: Japanese Pizza Toast and Turtles

by JacksonJanuary 12th, 2020

Too Long; Didn't Read

The more I analyze and write, the more I’ve become in the direction of history and culture. This week’s article is a case of the all too pervasive p-value hacking that is found in the media. The more extreme the result they interpret the paper, so they’re biased in that they would like their interpretation to align with the best outcome for the best revenue, but that is not the best way of doing it. The author of this article suggests that p-values are more likely to be the result of a flawed model.

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featured image - Console #17: Japanese Pizza Toast and Turtles

01/12/2019

Welcome to Console, a technology, business, and financial markets newsletter with an emphasis on rationality. If you’d like to sign up, you can do so here.

Japanese Pizza Toast

The more I analyze and partake in business and economics, the more introspective I’ve become in the direction of history and culture. Business is inherently cultural because it is an inherently human endeavor.

Food is the perfect blend of culture and business, and Craig’s writing about Japanese Pizza Toast exemplifies this so well.

Tesla Marketcap Surpasses GM and Ford Combined

Two words: irrational exuberance.

I’m happy to see Toyota innovating, but this kind of seems like an executive’s pet project more than anything else.

Raising Minimum Wage May Prevent Suicide

I’ve said in previous newsletters that I’ve always been fascinated with how economic conditions affect health and well-being.

The problem is, I’m also a fan of Nassim Nicholas Taleb, and have seen him eviscerate studies like these, so I’m always wary of the statistics used.

It looks like this particular study uses a Poisson regression, which likely means a lot of information is lost between reality and the model.* They found a p-value of .013, which is better than the often used p-value of .05. However, Taleb has shown p-values to be a flimsy indication of statistical correlation. It seems the paper this article is written about is a case of the all too pervasive p-value hacking that’s found in the soft sciences today.

One of the projects in one of my statistics courses back in college was to collect a news story on a research paper similar to this one and analyze both the news story and the statistics used in the research paper.

The news organizations are incentivized to create content, particularly content with eye-grabbing headlines for SEO purposes. Because of this, what they’ll often do is find a research paper and interpret the results. The more extreme the result they interpret the better the headline, so they’re biased in that they would like their interpretation to align with the best outcome for the news organization’s revenue.

This involves a bastardization of the results of the research, which itself is already on faulty grounds due to its use of p-values and regression models. Often the news story is incorrect in what the research paper is asserting, and often the research paper itself is p-value hacking to get a paper into a journal. It’s turtles all the way down.

*I would say that about any model by the way, but that’s a discussion for another newsletter.

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