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C.R. Rao, gamma squeeze, and Python Static Analyzer

Sep and Oct 2020 will be fun

Bradley Efron, et. al., Royal Statistical Society, 29 Jul 2020, C. R. Rao’s century, here.

In 1965, I was a first‐year Stanford postdoctoral student, awash in provocative ideas from the brilliant post‐war school of statisticians – Robbins, Stein, Tukey, Cox, and, of course, C. R. Rao.

When the fat second edition of Rao’s magisterial book on linear statistical inference arrived on my desk, it was a big event in the department, not just for me.1 (The book is still in use, though it has gotten a little beat up.)

To say that Rao was R. A. Fisher’s PhD student is true enough, but it doesn’t get across the fact that Rao really was Fisher’s student, in the sense of carrying on the Fisherian statistical tradition. “Inference” is the key word here. It evokes the scientist considering his or her most recent experimental data, and trying to assess the likelihood of various competing interpretations; it stands in at least partial opposition to the harder‐edged Neyman‐Wald decision‐theoretic viewpoint. Rao’s book is a testament to Fisherian data analysis. The author was, and is, the premier Fisherian of the post‐war era.

Tyler Durden, Zerohedge, 7-Sep-2020, Connecting The Dots: How SoftBank Made Billions Using The Biggest “Gamma Squeeze” In History, here. This is why you put up with all the political nonsense to read Zerohedge … Rain Man-class market data, color, and interpretation.

It was back in July when we first reported that Goldman had observed a “historic inversion” in the stock market: for the first time ever, the average daily value of options traded has exceeded shares, with July single stock options volumes hitting 114% of shares volumes.

Graham Bleaney and Sinan Sepel, Facebook Engineering, 7-Aug-2020. Pysa: An open source static analysis tool to detect and prevent security issues in Python code, here.

Today, we are sharing details about Pysa, an open source static analysis tool we’ve built to detect and prevent security and privacy issues in Python code. Last year, we shared how we built Zoncolan, a static analysis tool that helps us analyze more than 100 million lines of Hack code and has helped engineers prevent thousands of potential security issues. That success inspired us to develop Pysa, which is an acronym for Python Static Analyzer. 


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