This is a thread on statistics in science: 1/7 (via @LogicofScience)

Basic
Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak

#Science #Statistics

Basic Statistics Part 2: Correlation vs. Causation

https://t.co/Azhyl8pDsX (2/7)
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections

https://t.co/LetN6aEBRM (3/7)
Basic statistics part 4: understanding P values

https://t.co/K8MMMgTCOf (4/7)
Basic Statistics Part 5: Means vs Medians, Is the “Average” Reliable?

https://t.co/xDdsknlZyt
(5/7)
Basic Statistics Part 6: Confounding Factors and Experimental Design

https://t.co/yGxTh2HPf9 (6/7)
When can correlation equal causation?

https://t.co/Vl3JmC8NMe (7/7)
While you are here, also have a look at this thread on rules of logic:

https://t.co/OtVrL0nyIl
Thanks for your patience.

May be mark this thread too for reading later? One on logical fallacies: https://t.co/Z7S9kNsFoI

-End-

More from Science

@mugecevik is an excellent scientist and a responsible professional. She likely read the paper more carefully than most. She grasped some of its strengths and weaknesses that are not apparent from a cursory glance. Below, I will mention a few points some may have missed.
1/


The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/

The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/


The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/


The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
"The new answer to a 77-year-old problem"

😭


https://t.co/hm9NoaU4nr


https://t.co/8fKDiKjSWc


https://t.co/jkaicC1F2x


https://t.co/PpxWT4Jef4

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