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91.

A new hot hand paradox (statmodeling.stat.columbia.edu)

38 points

6 years ago

92.

Body Language and Machine Learning (statmodeling.stat.columbia.edu)

38 points

6 years ago

93.

Questions about synthetic control methods in causal inference (statmodeling.stat.columbia.edu)

37 points

3 years ago

94.

Clarke's Law, and who's to blame for bad science reporting (statmodeling.stat.columbia.edu)

36 points

2 years ago

95.

What’s the difference between Derek Jeter and preregistration? (statmodeling.stat.columbia.edu)

34 points

4 years ago

96.

How often is the wife taller than the husband? (statmodeling.stat.columbia.edu)

33 points

2 years ago

97.

It's kinda like phrenology but worse (statmodeling.stat.columbia.edu)

32 points

6 years ago

98.

Dorothy Bishop on the prevalence of scientific fraud (statmodeling.stat.columbia.edu)

31 points

3 years ago

99.

Bad science as genre fiction (statmodeling.stat.columbia.edu)

29 points

2 years ago

100.

What can $100k get you nowadays? (statmodeling.stat.columbia.edu)

28 points

4 years ago

101.

Three Unblinded Mice (statmodeling.stat.columbia.edu)

28 points

5 years ago

102.

Who are the culture heroes of today? (statmodeling.stat.columbia.edu)

26 points

5 years ago

103.

When can you know the Type I error rate for your analysis (statmodeling.stat.columbia.edu)

25 points

3 years ago

104.

How did NPR’s pre-election poll get things so so so wrong? (statmodeling.stat.columbia.edu)

24 points

4 years ago

105.

Reflections on a Talk Gone Wrong (statmodeling.stat.columbia.edu)

24 points

5 years ago

106.

The rise of randomized controlled trials (RCTs) in international development [pdf] (statmodeling.stat.columbia.edu)

24 points

6 years ago

107.

Statistics Blunder at the Supreme Court (statmodeling.stat.columbia.edu)

23 points

2 years ago

108.

Not Frequentist Enough (statmodeling.stat.columbia.edu)

23 points

4 years ago

109.

Hey I almost got scammed by Google (statmodeling.stat.columbia.edu)

23 points

4 months ago

110.

We have everything in common with machine learning, except, of course, language (statmodeling.stat.columbia.edu)

23 points

4 years ago

111.

Confirmationist and falsificationist paradigms of science (2014) (statmodeling.stat.columbia.edu)

22 points

7 years ago

112.

What are the most important statistical ideas of the past 50 years? (statmodeling.stat.columbia.edu)

22 points

5 years ago

113.

How the new era of CEO supervillains are trapped in their own ideology (statmodeling.stat.columbia.edu)

21 points

4 months ago

114.

The River, the Village, and the Fort: Nate Silver's New Book, "On the Edge" (statmodeling.stat.columbia.edu)

21 points

2 years ago

115.

Hydroxychloroquine Update (statmodeling.stat.columbia.edu)

20 points

6 years ago

116.

How to model a non-monotonic relation? (statmodeling.stat.columbia.edu)

20 points

3 years ago

117.

Is marriage associated with happiness for men or for women? Or both? Or neither? (statmodeling.stat.columbia.edu)

19 points

2 years ago

118.

Example of the general issue of the importance of measurement in statistics (statmodeling.stat.columbia.edu)

19 points

3 years ago

119.

Andrew Gelman on Pedro Domingos' claim that algorithms are incapable of bias (statmodeling.stat.columbia.edu)

18 points

5 years ago

120.

How to think about the effect of the economy on political attitudes / behavior? (statmodeling.stat.columbia.edu)

18 points

2 years ago