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1/Curious me took a glimpse at Michael Nielsen's blog, which triggered Gelman's discussion of Simpson's paradox http://michaelnielsen.org/reinventing_explanation/index.html …. Michael is blunt: "[The paradox] shows that some of our ingrained intuitions about statistics are not just wrong, but spectacularly wrong." Yet
2/ Yet 90% of living statisticians still believe it can be "resolved" by re-visualizing data. My esteemed discussants on The American Statistician, https://ucla.in/2Jfl2VS (eg, Xiao-Li Meng) wouldn't even utter the word "causation". And it is 2020, and Statisticians get angry
3/3 when I remind them of the date, and their students still can't cope with a paradox that has haunted statistics for the past 120 years. Pearl unfairly bashes statistics, they say. #Bookofwhy
It surely helps. And the real puzzle begins here: A person with unknown color comes in, would X increase its Y or decrease it? #Bookofwhy
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