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121.

Three Unblinded Mice

statmodeling.stat.columbia.edu

5 years ago

28 points

122.

Information, incentives, and goals in election forecasts [pdf]

stat.columbia.edu

6 years ago

27 points

123.

Who are the culture heroes of today?

statmodeling.stat.columbia.edu

5 years ago

26 points

124.

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

statmodeling.stat.columbia.edu

3 years ago

25 points

125.

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

statmodeling.stat.columbia.edu

4 years ago

24 points

126.

Reflections on a Talk Gone Wrong

statmodeling.stat.columbia.edu

5 years ago

24 points

127.

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

statmodeling.stat.columbia.edu

6 years ago

24 points

128.

Statistics Blunder at the Supreme Court

statmodeling.stat.columbia.edu

2 years ago

23 points

129.

Not Frequentist Enough

statmodeling.stat.columbia.edu

4 years ago

23 points

130.

Hey I almost got scammed by Google

statmodeling.stat.columbia.edu

4 months ago

23 points

131.

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

statmodeling.stat.columbia.edu

4 years ago

23 points

132.

Confirmationist and falsificationist paradigms of science (2014)

statmodeling.stat.columbia.edu

7 years ago

22 points

133.

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

statmodeling.stat.columbia.edu

6 years ago

22 points

134.

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

statmodeling.stat.columbia.edu

5 months ago

21 points

135.

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

statmodeling.stat.columbia.edu

2 years ago

21 points

136.

Hydroxychloroquine Update

statmodeling.stat.columbia.edu

6 years ago

20 points

137.

How to model a non-monotonic relation?

statmodeling.stat.columbia.edu

3 years ago

20 points

138.

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

statmodeling.stat.columbia.edu

2 years ago

19 points

139.

Upper-income people still don't realize they're upper-income

stat.columbia.edu

15 years ago

19 points

140.

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

statmodeling.stat.columbia.edu

3 years ago

19 points

141.

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

statmodeling.stat.columbia.edu

5 years ago

18 points

142.

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

statmodeling.stat.columbia.edu

2 years ago

18 points

143.

Average Power: A Cautionary Note [pdf]

statmodeling.stat.columbia.edu

6 years ago

17 points

144.

The likelihood principle in model check and model evaluation

statmodeling.stat.columbia.edu

6 years ago

16 points

145.

Correcting for the first-player advantage in Risk

stat.columbia.edu

17 years ago

15 points

146.

What is the probability your vote will make a difference? (2012) [pdf]

stat.columbia.edu

12 years ago

15 points

147.

Thinking fast, slow, and not at all

statmodeling.stat.columbia.edu

5 years ago

14 points

148.

Ego depletion is not just disappearing, it’s turning negative

statmodeling.stat.columbia.edu

7 years ago

14 points

149.

Additional recommendations for designing experiments to learn about the world [pdf]

stat.columbia.edu

3 years ago

13 points

150.

Hierarchical Model of Golf Putting

statmodeling.stat.columbia.edu

4 years ago

13 points