The human tendency to create taboos extends to the realm of science. Some of these taboos, such as the insistence on logical coherence, seem indispensable. Others, such as the insistence on replication and a third-person perspective deserve more scrutiny.
open-minded science benefits from questioning taboos
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Alice -- you said that you care how other people think ...
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yes, still most people use only sounds instead of a SignLanguage -- 
Bob
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Alice-- sound is the main mode of thought, expression and human existence! , therefore you don't care!
8 days later
quote
The human tendency to create taboos extends to the realm of science. Some of these taboos, such as the insistence on logical coherence, seem indispensable. Others, such as the insistence on replication and a third-person perspective deserve more scrutiny
end of quote
You left out a block buster. i.e. here it comes.
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Bayesian statistics is an approach to data analysis and parameter estimation based on Bayes' theorem. Unique for Bayesian statistics is that all observed and unobserved parameters in a statistical model are given a joint probability distribution, termed the prior and data distributions
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OMG, is this ALWAYS true in terms of analysis of data? Well the alternative is at times WORSE
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The non-Bayesian approach somehow ignores what we know about the situation and just gives you a yes or no answer about trusting the null hypothesis, based on a fairly arbitrary cutoff. The Bayesian approach to such a question starts from what we think we know about the situation
end of quote
I see many NON Bayesian stat approaches, in certain laboratories, and that is due to lab managers being swamped with too much to do
Statistical reasoning training in data analysis is often made a machine algorithm problem, whereas few people really understand what sort of statistics may be optimal
In a word, our analysis of what we think data is telling us may be off and this leads to problems, which we should at least think about