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331.
▲
Who are you gonna believe, me or your lying eyes?
(statmodeling.stat.columbia.edu)
2 points
luu
6 years ago
1 comment
332.
▲
Please socially distance me from this regression model
(statmodeling.stat.columbia.edu)
2 points
eternalban
6 years ago
1 comment
333.
▲
What’s wrong with null hypothesis significance testing
(statmodeling.stat.columbia.edu)
2 points
codesuki
7 years ago
1 comment
334.
▲
Blogging and Writing Style
(statmodeling.stat.columbia.edu)
2 points
Tomte
2 months ago
discuss
335.
▲
Fraud and the false optimism of AI for science
(statmodeling.stat.columbia.edu)
2 points
ivansavz
2 months ago
discuss
336.
▲
The Internet of Poop
(statmodeling.stat.columbia.edu)
2 points
jruohonen
2 months ago
discuss
337.
▲
Probabilistic feature analysis of facial perception of emotions [pdf]
(sites.stat.columbia.edu)
2 points
luu
2 months ago
discuss
338.
▲
The 80% Power Lie
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 months ago
discuss
339.
▲
OK, I reread that classic paper by Paul Meehl, and
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 months ago
discuss
340.
▲
How much of "Mississippi's education miracle" is an artifact of selection bias?
(statmodeling.stat.columbia.edu)
2 points
Anon84
6 months ago
discuss
341.
▲
Reasons to Use Bayesian Inference
(statmodeling.stat.columbia.edu)
2 points
nextos
8 months ago
discuss
342.
▲
Howl, after Allen Ginsberg (for the AI-headed hipsters)
(statmodeling.stat.columbia.edu)
2 points
paulpauper
9 months ago
discuss
343.
▲
Bring on the Stupid: When does it make sense to judge a something by its worst?
(statmodeling.stat.columbia.edu)
2 points
nabla9
a year ago
discuss
344.
▲
Proving a Null Hypothesis?
(statmodeling.stat.columbia.edu)
2 points
nabla9
a year ago
discuss
345.
▲
I no longer use the term "cargo-cult science"
(statmodeling.stat.columbia.edu)
2 points
Tomte
a year ago
discuss
346.
▲
Re: "AI Needs Specialization to Generalize"
(statmodeling.stat.columbia.edu)
2 points
danso
a year ago
discuss
347.
▲
The piranha principle: What does it mean, exactly?
(statmodeling.stat.columbia.edu)
2 points
Tomte
a year ago
discuss
348.
▲
You can learn a lot from a simple simulation (example of experimental design)
(statmodeling.stat.columbia.edu)
2 points
Tomte
a year ago
discuss
349.
▲
7 steps to junk science that can achieve worldly success
(statmodeling.stat.columbia.edu)
2 points
luu
a year ago
discuss
350.
▲
When do stories seem real?
(statmodeling.stat.columbia.edu)
2 points
Tomte
a year ago
discuss
351.
▲
Most Popular Posts of 2024
(statmodeling.stat.columbia.edu)
2 points
Tomte
a year ago
discuss
352.
▲
Harvard time baby: completely botched data but you don't change your conclusions
(statmodeling.stat.columbia.edu)
2 points
nabla9
a year ago
discuss
353.
▲
What it takes to conclude that a research seam has been mined to exhaustion
(statmodeling.stat.columbia.edu)
2 points
domofutu
2 years ago
discuss
354.
▲
Statisticians: When We Teach, We Don't Practice What We Preach (2012) [pdf]
(stat.columbia.edu)
2 points
Tomte
2 years ago
discuss
355.
▲
Andrew Gelman is not the science police because there is no science police
(statmodeling.stat.columbia.edu)
2 points
Tomte
2 years ago
discuss
356.
▲
Why it's important to include pre-treatment variables in a randomized experiment
(statmodeling.stat.columbia.edu)
2 points
Tomte
2 years ago
discuss
357.
▲
Make a hypothesis about what you expect to see every step of the way.A manifesto
(statmodeling.stat.columbia.edu)
2 points
RicoElectrico
2 years ago
discuss
358.
▲
Polling by asking people about their neighbors: When does this work?
(statmodeling.stat.columbia.edu)
2 points
hcks
2 years ago
discuss
359.
▲
Polling by asking people about their neighbors
(statmodeling.stat.columbia.edu)
2 points
amadeuspagel
2 years ago
discuss
360.
▲
"Pitfalls of Demographic Forecasts of US Elections"
(statmodeling.stat.columbia.edu)
2 points
luu
2 years ago
discuss
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