Top Tweets for #api201
Trending topic #TATGranada21
@ideal_granada @TATGranada
Seguimos con la Ponencia @edeleon hablando como conocer la personalidad de los usuarios a través de sus tuis. @Guud
DINAMIZACIÓN #API201
Brain says "makes sense", somehow im still mad... #api201
Don't want to stir things up *too* much but it seems like if a forecast says that Biden is favored because he could survive a 2016-style (~3 point) polling error when Clinton couldn't, and you get that polling error and he indeed (probably) survives, it was fairly informative?
Discovered @sophie_e_hill's review sessions a little too late, but now binge watching lifesaving lectures before #api201 @harvard midterm.
How I feel about the stats midterm next week #api201
Ready for a class inspired by one of my dearest mentors, the great Richard Zeckhauser. #api201
I'm teaching an intro stats class this semester and I've challenged myself to use Shiny / #rstats to bring some of the concepts to life!
So far I've done:
💯 Z-scores
↔️ Confidence intervals
🔎 Base rate fallacy
✝️ Bayes' rule
Apps: https://t.co/KMJfETv5xl
Another semester about to begin! #api201
Starting to transform a basement storage closet into a credible, attractive remote teaching space. Plausible? Or hopeless? #api201
The better-than-expected jobs report follows a series of other recent data that points to a V-shaped recovery. Take a look at these charts: https://t.co/npQxnfQ6mh
Antibody tests are coming online. Never before have humans needed to understand Bayes rule more. Let's talk about why it's critical NOT to assume you are immune to covid-19 when you have a positive antibody test. Seriously, people need to understand this to prevent many deaths.
Bayes rule matters #api201
@PNASNews published a study last year claiming no racial bias in police shootings. The study's central claim was mathematically unsupported. @dean_c_knox & I submitted critique to PNAS, which was rejected. We appealed. Today PNAS published our critique.1/n https://t.co/FvIfNKkKJ8
#api201: The Economist’s figure is in the quoted tweet, and the original figure is below. What’s being obfuscated in the Economist version?
Wonderful article by @seema_econ on the importance of null results, h/t @JonathanCBorck. Remember to take an empirical approach to life! #api201 https://t.co/vQO0TJcseW
Well said! “All models are wrong; some models are useful” - George Box #api201
If economists interpreted fables the same way we interpreted models, the conclusion of the tortoise and the hare would be that the optimal speed to run is 1.53km per hour
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