Briefly
- From the LA Times, week before last The Los Angeles Police Department asked drivers to avoid navigation apps, which are steering users onto more open routes — in this case, streets in the neighborhoods that are on fire. A related XKCD
- From a Twitter thread about machine learning in the law (via Alex Hayes): For example, in crime prediction, X is not a sample from the population but instead from the subset of the population investigated by the police. Y is not the true outcome (e.g., did the person commit a crime), but the conclusion of the legal system. So a model predicting Y from X is predicting how the legal system will treat a person X that they have chosen to investigate. It is not predicting whether a person X’ drawn from the general population is guilty (Y’). He’s not saying this is impossible to fix, but it won’t fix itself.
- Wil Undy, who did the Herald’s poll aggregator in the NZ election, now has a blog.
- A fascinating newly-discovered optical illusion
- Interactive map of debt in the USA (via Alberto Cairo)
- Thinking about ethics of machine-learning experiments such as determining sexual orientation from face images.
- The Washington Post has exit polls for the Alabama senate election, including graphs. I think it would be helpful to show the size of different groups, not just how they voted
Alabama senate exit polls: bars scaled by % in each group#statschat (now with white background)
(data from https://t.co/Jz2IqSwBKP …) pic.twitter.com/cqJTE0156S— Thomas Lumley (@tslumley) December 13, 2017








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