You don't have data. Because the thing about biases is that they're often unconscious.
It's also a lot like the "bad toupee" effect. You think you're good at spotting toupees because you always notice when they're bad. But you don't notice when they're good, therefore they don't even factor into your dataset.
Which is why anecdotes are never data. There's no way to control the data coming in. And the filters we have on the data coming in are sometimes unknown.
I've never really seen a study on artificial sweeteners that ever propose an actual mechanism. And without fail, the study is done on rodents or rely on self-reporting to some degree or on very small sample sizes.
I don't have to present my own observations to point out flaws in your own observations. It's not a contest where "most observations" win or whatever.
I have no objection to 'anecdotes aren't data" or "you can't see your unconscious biases" or any of that.. I just think that responding to say "the things you think you have noticed are biased and therefore irrelevant and meaningless" is (a) a dick thing to say and (b) totally unnecessary, since it's both obvious and adds no information or interesting content to the discussion. Its only purpose is to put me down. And for what? To spread cynicism, apparently -- you seemed to think that if had contributed _your_ impression, I would dismiss it out of hand, but no, that's a You Thing. I'm interested in other people's impressions, and plenty of other people are too, even if you personally aren't.
It's also a lot like the "bad toupee" effect. You think you're good at spotting toupees because you always notice when they're bad. But you don't notice when they're good, therefore they don't even factor into your dataset.
Which is why anecdotes are never data. There's no way to control the data coming in. And the filters we have on the data coming in are sometimes unknown.
I've never really seen a study on artificial sweeteners that ever propose an actual mechanism. And without fail, the study is done on rodents or rely on self-reporting to some degree or on very small sample sizes.
I don't have to present my own observations to point out flaws in your own observations. It's not a contest where "most observations" win or whatever.