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this post was submitted on 22 Dec 2023
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You can read the dawn of everything book which is a very interesting take at a lot of those assumptions which are indeed false. This book goes deep into the ideological bias scientists have when interpreting evidence.
Surprised you didn't get downvoted here. It's like if you tell people science is done by humans and humans arre flawed people flip out and call you a science-denier.
One of the first things you're taught to understand when interpreting data is that you have a bias. It is impossible not to have a bias.
Take for example: 1+1=2. Is it an extremely simple equation, or a decades long mathematical pursuit to establish certainty?
Our bias tells us we can confidently assert such simple statements, but the truth is, unless we spend an agonising length of time understanding the most insignificant and asinine facts, we NEED biases to understand the world.
The point of understanding we have biases is to think more critically about which ones are most obviously wrong.
The scientific term is bias, the layman term is flawed. When interpreting skepticism from others, many are likely to be biased against the layman ๐