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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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