Fisher Would Have Discovered It All Anyway

Stats in under 280 characters | a tribute to all those who have advanced statistics, even if "Fisher would have discovered it all anyway"

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

"On behalf of fellow statisticians, I would like to thank you for all that you have done for the advancement of statistics."
to which Gosset replied: "Oh, that's nothing - Fisher would have discovered it all anyway." Stella Cunliffe (1976)

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

If you use "spurious correlation" synonymously with "correlation that is not causal", you equate "correlation" with "causation". #statsmisconception
#LitTip wrt #spuriouscorrelation: https://t.co/J12St9j3cu

[The Book of Statistical Proofs @StatProofBook]

Everyone can contribute to the #StatProofBook! 👩‍💻👨‍💻
Learn more: https://t.co/4WHcjFd9kY.

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

p. 55

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

Excited to read "Thinking About #Statistics" by @junotk_jp #LitTip #stats #PhilStats

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

#LitTip
Oscar Kempthorne, 1977, Why Randomize?

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

#LitTip #StatsLiteracy

[Office for Statistics Regulation @StatsRegulation]

"Statistical Literacy – it’s all in the communication” - our new review published today explores what statistical literacy is and what it means for how statistics are communicated to the public https://t.co/JhAla2y7WH

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

From: DeGroot, M. H. (1988). A Conversation with George A. Barnard. Statistical Science, 3(2), p. 201/202. https://t.co/tVRQuFyQ6z

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

#statisticallyfunny

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

@ajordannafa @edelmann_domi @gtallen89 2/ That being said, "modern social science" is using Fisherian testing, too (often mixed with NP-testing). See e.g. the use of p-values here: https://t.co/m32FtJ0JzX

The use is Fisherian because the p-values serve as a measure of strength of evidence against the null.

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

@ajordannafa @edelmann_domi @gtallen89 1/ You made general claims about a particular statistical measure (paraphrased: "p-values are tied to NP-testing“, „p-values are tied to causal claims") Both claims are wrong, as shown above, regardless what a particular field ("modern social science") does in practice.

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

@learnfromerror I would be interested in listenting in via zoom.

[♕Deborah Mayo♕ @learnfromerror]

I will be teaching an introduction to Philosophy of Statistics this spring, ed 4-6:30. Follow us on https://t.co/aUJ6CM4m5d where all the materials will be available. Some classes may be zoomable midway through.

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

@smreeteemehta @lakens Reminds me that I should finally try out this miracle chalk myself ;-)

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

@lakens @smreeteemehta Many mathematicians do something even more inefficient: They write down their talks and then write it down *again* and *in front of the audience*. However, with the level of precision required, I think that's not a bad idea. I reckon it might be similar in philosophy.

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

#LitTip: Ian Hacking, The Taming of Chance, Chapter 14, p. 117 f.

[Vincent Traag (@[email protected]) @vtraag]

You might want to argue that these causal models are incorrect. You are probably right! The point is not that they are “correct”. The point is that causal models help to clarify the conclusions we can draw. Having a clear causal definition of “bias” helps in this discussion.

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

... but it is certainly influenced by considerations of the relative convenience and the empirical facts."

Source: Neyman, 1937, Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability, p. 336 #LitTip

[Fisher Would Have Discovered It All Anyway @AnywayFisher]

"In theoretical work the choice between several equally legitimate theories is a matter of personal taste only. In problems of application the personal taste is again the decisive moment, ...

[Daniël Lakens @lakens]

This is a very good thread. A very easy thing we can do as senior researchers is to send good work to journals that do not play this game. I sent my Sample Size Justification paper - and the many citations the preprint was getting - to @CollabraOA for example