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The point "Sometime science is incomplete" doesn't say anything to any particular study. It doesn't address anything about the study itself. Saying "the data is wrong here" or "your statistical model is wrong in these ways" or "your sample size is too small" are tangible things and things worth bringing up. Saying "yeah, but science is wrong... sometimes" says nothing.

No one said the findings were absolute truth. It's a pointless thing to argue against. They said they found on average about 4 years of accelerated aging. You get averages from highs and lows. So a counter-example of one is irrelevant. Ok, put him in with the averages. Now the average is... about 4 years. His data point doesn't move the needle.

Sure the article is light on details, because it's a summary of a study. Not the study itself. But the point remains, he latched on to the first thing he could think of to dismiss the results. That's just bad process.

And I never said it has to be a "pure" process. If the only way you have of "making a point" is to stretch others' words to the point of absurdity, then you don't have a point. You are immediately assuming the worst possible interpretation of words rather than even a neutral one. The process is overall simple: perform, observe, record, interpret. If your findings are valid, if your methods are sound, and your tests repeatable, others will be able to duplicate your results. And I'm sure you're going to interpret that in the worst possible way. Because you have already an answer you want, you just need to fit the data to it.

Being skeptical, being open, also means being wrong sometimes. The idea is to consider new information and not just toss it aside because it conflicts with your personal preferences.



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