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Clearly people care very deeply about sources and evidence -and they're attacking things (wikipedia, various gov websites) which can be used as objective sources.

If you don't have objective sources, it's easier to lead people around by the nose -hence the attack.

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Here's the root of the problem though: wikipedia isn't an objective source by its very nature. Wikipedia requires mainstream established news sources for a lot of articles that aren't academic in nature, and especially for articles about people. You cannot include information that isn't supported by corporate news articles, which means corporate news is now the arbiter of truth, and corporate news lies all the time about everything.

Wikipedia is, and always has been, the encyclopedia of the elite and billionaire narrative, and especially the left-wing narrative, which dominates nearly all corporate news groups. I say this as a far left person myself.

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corporate news rarely lies outright. libel is illegal. articles will spin and speculate, emphasize and elide, omit and opine, but that's not lying, it's spin, and a careful reading can extract the facts of the matter.

yes, you have to cite reliable sources on Wikipedia. yes, this means AP is considered more reliable than someone's Substack. you can, however, cite NPR or PBS, the BBC or the Guardian. if two reliable sources differ, you cite both and describe the conflict.

how do you know that "corporate" news lies all the time about everything? who told you that? why do you trust them? why should I trust them?

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> Many people don't seem to care about any evidence or sources. They blindly follow whatever lies that their leaders say.

I’m one of those people you complain about. When I did deep research about DEI, I presented evidence and sources to people like you, including judges that I knew in my private life.

It seems you didn’t care, to a point that I had in my hand a document printed from a department of justice’s own website (about mothers’ own violence on their children, which is as high as men’s given the scope you decide to choose) and the person who in his public life is a judge, didn’t even bother discussing the thesis and just told me: “This document is false. You changed the figures before printing the document”.

You may say that Trump is bad for dismantling your administration, but you guys don’t care an inch about truth, evidence, sources, honesty, bad faith, or even for the number of children who are beaten to death by their mothers.

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Yeah I think you might be doing a little over-generalization there.
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Depends on the extend of the subjects I’ve studied and the number of good faith - bad faith people I’ve met.

I literally wrote a book on one of those subjects and made it to a national news channel in two countries about it.

The cause is lost for science, people don’t respond to logic.

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"given the scope you decide to choose"

By changing the scope, you changed the effect. Unless you did every statistical validation here... Yeah. That reads exactly like data manipulation. t-distribution approaches standard normal distribution, when the degree of freedom increases. That's not something that anyone should ignore and give credit to. It's the same bullshit that Donald has repeatedly tried to do, to prove himself doing the right thing, even as everything falls apart.

Caring about the truth, requires caring about the methodology, and not just the conclusions.

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That’s not what the judge argued. He accused me of falsifying the document by doctoring it before printing.

Which shows:

- How much bad faith you have, assuming I argumented to a judge on a false hypothesis,

- Condescension to assume that I’m not a scientist who masters p-values,

- And ultimately, you confirm the hypothesis that you lead your research in bad faith, knowing full well the true level of violence from women and hiding it, which leads to more child deaths. You are accessory to criminality.

Your attitude confirm as well that it’s good this entire field of researched be defunded, it is a net win for science.

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I'd really appreciate to hear about your research and where I could read about the violence. My Gmail username is the same as my HN username. Thank you!
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The p-value is useless, where the t-value does not hold substance. One depends upon the other. If there's too much of a degree of freedom, it doesn't matter if the p-value looks accurate. The data is probably no longer normally distributed, requiring non-parametric testing.

You've leapt to me being a researcher acting in bad faith, accusing me for a whole industry. As to defunding an entire field of research, it sounds like you'd like statistics or mathematics defunded? I'm afraid they will persist regardless. Too many industries depend upon them.

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