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91.

A new hot hand paradox

statmodeling.stat.columbia.edu

6 years ago

38 points

92.

Body Language and Machine Learning

statmodeling.stat.columbia.edu

6 years ago

38 points

93.

Questions about synthetic control methods in causal inference

statmodeling.stat.columbia.edu

3 years ago

37 points

94.

Clarke's Law, and who's to blame for bad science reporting

statmodeling.stat.columbia.edu

2 years ago

36 points

95.

What’s the difference between Derek Jeter and preregistration?

statmodeling.stat.columbia.edu

4 years ago

34 points

96.

How often is the wife taller than the husband?

statmodeling.stat.columbia.edu

2 years ago

33 points

97.

It's kinda like phrenology but worse

statmodeling.stat.columbia.edu

6 years ago

32 points

98.

Dorothy Bishop on the prevalence of scientific fraud

statmodeling.stat.columbia.edu

3 years ago

31 points

99.

Bad science as genre fiction

statmodeling.stat.columbia.edu

2 years ago

29 points

100.

What can $100k get you nowadays?

statmodeling.stat.columbia.edu

4 years ago

28 points

101.

Three Unblinded Mice

statmodeling.stat.columbia.edu

5 years ago

28 points

102.

Who are the culture heroes of today?

statmodeling.stat.columbia.edu

5 years ago

26 points

103.

When can you know the Type I error rate for your analysis

statmodeling.stat.columbia.edu

3 years ago

25 points

104.

How did NPR’s pre-election poll get things so so so wrong?

statmodeling.stat.columbia.edu

4 years ago

24 points

105.

Reflections on a Talk Gone Wrong

statmodeling.stat.columbia.edu

5 years ago

24 points

106.

The rise of randomized controlled trials (RCTs) in international development [pdf]

statmodeling.stat.columbia.edu

6 years ago

24 points

107.

Statistics Blunder at the Supreme Court

statmodeling.stat.columbia.edu

2 years ago

23 points

108.

Not Frequentist Enough

statmodeling.stat.columbia.edu

4 years ago

23 points

109.

Hey I almost got scammed by Google

statmodeling.stat.columbia.edu

4 months ago

23 points

110.

We have everything in common with machine learning, except, of course, language

statmodeling.stat.columbia.edu

4 years ago

23 points

111.

Confirmationist and falsificationist paradigms of science (2014)

statmodeling.stat.columbia.edu

7 years ago

22 points

112.

What are the most important statistical ideas of the past 50 years?

statmodeling.stat.columbia.edu

6 years ago

22 points

113.

How the new era of CEO supervillains are trapped in their own ideology

statmodeling.stat.columbia.edu

5 months ago

21 points

114.

The River, the Village, and the Fort: Nate Silver's New Book, "On the Edge"

statmodeling.stat.columbia.edu

2 years ago

21 points

115.

Hydroxychloroquine Update

statmodeling.stat.columbia.edu

6 years ago

20 points

116.

How to model a non-monotonic relation?

statmodeling.stat.columbia.edu

3 years ago

20 points

117.

Is marriage associated with happiness for men or for women? Or both? Or neither?

statmodeling.stat.columbia.edu

2 years ago

19 points

118.

Example of the general issue of the importance of measurement in statistics

statmodeling.stat.columbia.edu

3 years ago

19 points

119.

Andrew Gelman on Pedro Domingos' claim that algorithms are incapable of bias

statmodeling.stat.columbia.edu

5 years ago

18 points

120.

How to think about the effect of the economy on political attitudes / behavior?

statmodeling.stat.columbia.edu

2 years ago

18 points