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121.
Three Unblinded Mice (statmodeling.stat.columbia.edu)
28 points
luu
5 years ago
2 comments
122.
Information, incentives, and goals in election forecasts [pdf] (stat.columbia.edu)
27 points
luu
6 years ago
discuss
123.
Who are the culture heroes of today? (statmodeling.stat.columbia.edu)
26 points
luu
5 years ago
43 comments
124.
When can you know the Type I error rate for your analysis (statmodeling.stat.columbia.edu)
25 points
luu
3 years ago
2 comments
125.
How did NPR’s pre-election poll get things so so so wrong? (statmodeling.stat.columbia.edu)
24 points
Tomte
4 years ago
80 comments
126.
Reflections on a Talk Gone Wrong (statmodeling.stat.columbia.edu)
24 points
luu
5 years ago
12 comments
127.
The rise of randomized controlled trials (RCTs) in international development [pdf] (statmodeling.stat.columbia.edu)
24 points
luu
6 years ago
discuss
128.
Statistics Blunder at the Supreme Court (statmodeling.stat.columbia.edu)
23 points
Tomte
2 years ago
11 comments
129.
Not Frequentist Enough (statmodeling.stat.columbia.edu)
23 points
Tomte
4 years ago
8 comments
130.
Hey I almost got scammed by Google (statmodeling.stat.columbia.edu)
23 points
sega_sai
4 months ago
5 comments
131.
We have everything in common with machine learning, except, of course, language (statmodeling.stat.columbia.edu)
23 points
MAXPOOL
4 years ago
discuss
132.
Confirmationist and falsificationist paradigms of science (2014) (statmodeling.stat.columbia.edu)
22 points
cbkeller
7 years ago
9 comments
133.
What are the most important statistical ideas of the past 50 years? (statmodeling.stat.columbia.edu)
22 points
shuckles
5 years ago
discuss
134.
How the new era of CEO supervillains are trapped in their own ideology (statmodeling.stat.columbia.edu)
21 points
mandevil
4 months ago
9 comments
135.
The River, the Village, and the Fort: Nate Silver's New Book, "On the Edge" (statmodeling.stat.columbia.edu)
21 points
edward
2 years ago
9 comments
136.
Hydroxychloroquine Update (statmodeling.stat.columbia.edu)
20 points
7d7n
6 years ago
12 comments
137.
How to model a non-monotonic relation? (statmodeling.stat.columbia.edu)
20 points
Tomte
3 years ago
1 comment
138.
Is marriage associated with happiness for men or for women? Or both? Or neither? (statmodeling.stat.columbia.edu)
19 points
zaik
2 years ago
15 comments
139.
Upper-income people still don't realize they're upper-income (stat.columbia.edu)
19 points
clay
15 years ago
15 comments
140.
Example of the general issue of the importance of measurement in statistics (statmodeling.stat.columbia.edu)
19 points
magoghm
3 years ago
3 comments
141.
Andrew Gelman on Pedro Domingos' claim that algorithms are incapable of bias (statmodeling.stat.columbia.edu)
18 points
saeranv
5 years ago
9 comments
142.
How to think about the effect of the economy on political attitudes / behavior? (statmodeling.stat.columbia.edu)
18 points
luu
2 years ago
discuss
143.
Average Power: A Cautionary Note [pdf] (statmodeling.stat.columbia.edu)
17 points
luu
6 years ago
3 comments
144.
The likelihood principle in model check and model evaluation (statmodeling.stat.columbia.edu)
16 points
luu
5 years ago
discuss
145.
Correcting for the first-player advantage in Risk (stat.columbia.edu)
15 points
cwan
17 years ago
22 comments
146.
What is the probability your vote will make a difference? (2012) [pdf] (stat.columbia.edu)
15 points
ghosh
12 years ago
19 comments
147.
Thinking fast, slow, and not at all (statmodeling.stat.columbia.edu)
14 points
glutamate
5 years ago
8 comments
148.
Ego depletion is not just disappearing, it’s turning negative (statmodeling.stat.columbia.edu)
14 points
luu
7 years ago
5 comments
149.
Additional recommendations for designing experiments to learn about the world [pdf] (stat.columbia.edu)
13 points
luu
3 years ago
discuss
150.
Hierarchical Model of Golf Putting (statmodeling.stat.columbia.edu)
13 points
luu
4 years ago
discuss
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