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New edition of my probability book with Jessica Hwang is out! Read it FREE online at probabilitybook.net
Joe Blitzstein
4,577 posts
Joe Blitzstein
@stat110
Statistics professor at Harvard; statistician and data scientist; probability and paradoxes; Bayesian frequentist reconciliation; chess.
- Major update to the #probability cheatsheet! More visual, new material: wzchen.com/probability-ch… CC @wzchen #stat110
- Student: I have no idea how to do this problem. Me: Did you try some simple and extreme examples? Student: No, I don't have time to try that. Me: You don't have time NOT to try that.
- There's no such thing as a "quick question" in statistics.
- The probability of being killed given that one encounters a shark is not the same as the probability that a shark did it given that one is killed. See m.youtube.com/watch?v=otdaJP…
- Probability as you’ve never tasted it. Be our guest for #stat110x (vegetarians welcome too). Starts next Thursday! edx.org/course/introdu…
- The Stat dept here is 60 years old. We had more Stat majors graduate this year than in the first 50 years combined.
- I'm grateful that so many students want to learn probability with me (Stat 110 is undergrad level, 210 is grad level)! But I'm also relieved to have fallen short of 900 students total, mindful of the old saying, "When 900 students you reach, look as good, you will not."
- web.stanford.edu/class/bios221/… by @SherlockpHolmes and @wolfgangkhuber is one of the most beautiful and useful statistics books I've ever seen. And I don't even work on biology (thought I want to learn more). Conflict of interest disclosure: Susan was one of my mentors at Stanford.
- The epic story of probability: youtube.com/watch?v=gJZYgL… Trailer for my free @HarvardOnline probability course, coming this July to @edXOnline. Sign up at edx.org/course/introdu… #stat110x
- I had 92 students attend my Zoom office hours tonight... definitely one advantage of online, considering that I can barely fit 6 students in my physical office, even without social distancing!
- Got a bit too excited in class explaining an example with P(A|B,C) where A is the event that there is a fire, until I realized that shouting “fire” in a crowded lecture hall is not the best idea.
- I taught John Snow's work on cholera in Stat 111 a few days ago, to show the importance of data quality and causal inference. Couldn't resist saying that people around him thought he was crazy for thinking cholera was waterborne, that they said "You know nothing, John Snow."
- Big picture for my course with Susan Murphy and (when not on sabbatical) @shephard_neil. Prediction and causal inference are center stage, along with classical statistical inference. Probability, randomization, computing, and Bayesian and frequentist thinking come together!
