In the 29 August issue, worries about the collapse of the Italian government coalition for research (as the said government had pledge to return funding to 2009 [higher!] levels), Brexit as in every issue (and the mind of every EU researcher working in the UK), facial recognition technology that grows much faster than the legal protections which should come with it, thanks to big tech companies like Amazon and Google. In Western countries, not China… One acute point in the tribune being the lack of open source software to check for biases. More worries about Amazon, the real one!, with Bolsonaro turning his indifference if not active support of the widespread forest fires into a nationalist campaign. And cutting 80,000 science scholarships. Worries on the ethnic biases in genetic studies and the All of Us study‘s attempt to correct that (study run by a genetic company called Color, which purpose is to broaden the access to genetic counseling to under-represented populations). Further worries on fighting self-citations (with John Ioannidis involved in the analysis). With examples reaching a 94% rate for India’s most cited researcher.
Archive for biases
Nature worries
Posted in Statistics with tags Amazon, biases, Brazil, Brexit, China, EU, facial recognition, Google, India, Italian politics, John Ioannidis, Nature, self-citations on October 9, 2019 by xi'anStatistics and Health Care Fraud & Measuring Crime [ASA book reviews]
Posted in Books, Statistics with tags American Statistical Association, ASA, biases, book review, CHANCE, Chicago, CRC Press, crime, crime statistics, David Spiegelhalter, Edith Abbott, health care, health care fraud, Minority Report, Pau, Rat-Stats, Venezia on May 7, 2019 by xi'an From the recently started ASA books series on statistical reasoning in science and society (of which I already reviewed a sequel to The Lady tasting Tea), a short book, Statistics and Health Care Fraud, I read at the doctor while waiting for my appointment, with no chances of cheating! While making me realise that there is a significant amount of health care fraud in the US, of which I had never though of before (!), with possibly specific statistical features to the problem, besides the use of extreme value theory, I did not find me insight there on the techniques used to detect these frauds, besides the accumulation of Florida and Texas examples. As such this is a very light introduction to the topic, whose intended audience of choice remains unclear to me. It is stopping short of making a case for statistics and modelling against more machine-learning options. And does not seem to mention false positives… That is, the inevitable occurrence of some doctors or hospitals being above the median costs! (A point I remember David Spiegelhalter making a long while ago, during a memorable French statistical meeting in Pau.) The book also illustrates the use of a free auditing software called Rat-stats for multistage sampling, which apparently does not go beyond selecting claims at random according to their amount. Without learning from past data. (I also wonder if the criminals can reduce the chances of being caught by using this software.)
A second book on the “same” topic!, Measuring Crime, I read, not waiting at the police station, but while flying to Venezia. As indicated by the title, this is about measuring crime, with a lot of emphasis on surveys and census and the potential measurement errors at different levels of surveying or censusing… Again very little on statistical methodology, apart from questioning the data, the mode of surveying, crossing different sources, and establishing the impact of the way questions are stated, but also little on bias and the impact of policing and preventing AIs, as discussed in Weapons of Math Destruction and in some of Kristin Lum’s papers.Except for the almost obligatory reference to Minority Report. The book also concludes on an history chapter centred at Edith Abbott setting the bases for serious crime data collection in the 1920’s.
[And the usual disclaimer applies, namely that this bicephalic review is likely to appear later in CHANCE, in my book reviews column.]