Here’s the result of yesterday’s statistics experiment!
The poll is significantly 😉 biased!
WHY???
A thread.👇
The poll is significantly 😉 biased!
WHY???
A thread.👇
Here’s my plot of the responses as they came in.
With 7291 responses, this is *really* baised. The chances of it being a “fair coin flip” are basically 0. 😂 What’s going on?
With 7291 responses, this is *really* baised. The chances of it being a “fair coin flip” are basically 0. 😂 What’s going on?
As a good data scientists, we can use our qualitative data to help us understand our quantitative data! What qualitative data? The comments! Apparently, some folks tried to think one step ahead of the other respondents.
Others even tried to think *two* steps ahead!
It’s hard to say if all this over-thinking is what biased the results. Maybe it was the order of the responses that caused a bias. Personally, I doubt order matters much on Twitter because I’ve done polls where the options were pretty similar and the poll ended up being 50-50.
So my best theory for now is my statistically savvy followers tried to out-think the group and ended up biasing the poll! This is a fun outcome! Much more interesting than if it was a boring 50-50 result. 😁
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