this post was submitted on 29 Aug 2024
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Ok. Let me try again. In practice, as a data analyst would know, interpreting data is a messy, subjective business. If you asked two data scientists to look into the same question, you’re liable to get two completely different answers, even if they’re both working with the same dataset. That's to say, one dataset can produce multiple "facts." Both conclusions can be "facts," but it is subjective.
Things aren't as black and white as you imagine. So many things involving sciences were facts, until they werent. Consider the big role biases play when coming to different conclusions. Consider that MANY conclusions are based on a limited data set.
Yes, and when all the data sets point towards human made climate change, then you have a fact. When it's peer reviewed and studied, and when, it's challenged, and the data all still points to the same story, there is your fact. If two analysts come up with different data, then they cannot by definition be a "fact". Having one or two people go against the consensus, is fine, however when they make a challenge and their findings are proven incorrect, and they are still incapable of proving otherwise, then they need to review their biases. If they don't, well then, they aren't looking at things scientifically.
I've failed to get through to you... do some googling, please.
I did some for you. Read an article.
https://www.horizons-mag.ch/2021/12/02/same-data-different-conclusions
Or
https://news.fiu.edu/2020/researchers-choices-could-draw-different-conclusions
Or go ask AI to explain it to you.
You missed the point that drawing different conclusions out of data doesn't equate a fact.
Things are different in the scientific world. There are more stringent criteria required before claims can be taken as truths.
I'm seriously done... you're exasperating.
I like you, though, anyway. Let's be friends. Haha
No bother, I'm exasperating.