” map purportedly showing that areas affected by mad cow disease in 1992 ended up voting “leave” in 2016 is satire.”
well well well
This is a classic example that perfectly illustrates the difference between correlation and causation. It’s wild how often we see patterns and immediately assume one causes the other. These kinds of examples are so important for teaching critical thinking.
Cool and Interesting Maps on YouTube
Now I’m curious about what beef was tainted; was it higher quality steaks or was it cheaper meat like burgers and mince? Did mad cow disease disproportionately impact one economic group?
Could also just be population density
*causation
It should be clear that the map on the left is satire because of the exact correlation.
Cities Vs countryside 🤷♂️
It’s like that in the US just replace BSE with meth.
I saw a post once where someone did some mad historical detective work to link two maps like this, but connecting political voting in the US to dinosaur fossils discovered across different states or something?
They worked out that the fossil preservation caused or reflected that the ground had a different compositions affecting plant health in cotton fields, and so the descendants of slaves who were more dense in those areas had different motivations for backing each party.
I wonder if there’s actually some genuine multi-step hidden casualty that’s basically impossible to spot
No, it’s not a correlation. It’s an elderly lady and the might of the British navy. No thanks! Your Charles Darwin.
28 comments
Correlation is direct causation.
Now do average IQ on global map.
That’s good
Ha that is hilarious
Rural areas are more likely to have cattle farmers 🤯
No, let him cook. /s
I’m a brexit voter but this is funny.
Do ice cream sales and drowning.
Haha Is this real?
The literal point of this is to show correlation doesnt equal causation but redditoids cant read
Sociologists must be frothing at the mouth at this one
The link because the brexit miss-information campaign targeted farmers heavily.
https://www.snopes.com/fact-check/mad-cow-versus-brexit/
” map purportedly showing that areas affected by mad cow disease in 1992 ended up voting “leave” in 2016 is satire.”
well well well
This is a classic example that perfectly illustrates the difference between correlation and causation. It’s wild how often we see patterns and immediately assume one causes the other. These kinds of examples are so important for teaching critical thinking.
Cool and Interesting Maps on YouTube
Now I’m curious about what beef was tainted; was it higher quality steaks or was it cheaper meat like burgers and mince? Did mad cow disease disproportionately impact one economic group?
Could also just be population density
*causation
It should be clear that the map on the left is satire because of the exact correlation.
Cities Vs countryside 🤷♂️
It’s like that in the US just replace BSE with meth.
I saw a post once where someone did some mad historical detective work to link two maps like this, but connecting political voting in the US to dinosaur fossils discovered across different states or something?
They worked out that the fossil preservation caused or reflected that the ground had a different compositions affecting plant health in cotton fields, and so the descendants of slaves who were more dense in those areas had different motivations for backing each party.
I wonder if there’s actually some genuine multi-step hidden casualty that’s basically impossible to spot
No, it’s not a correlation. It’s an elderly lady and the might of the British navy. No thanks! Your Charles Darwin.
An excellent use of AI.
Hold on.. let him cook 🤔
Cows voted for brexit?
this would explain a lot
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