defmacr0
12d ago
Even with post-Nixon reforms, we still had stuff like Iran-Contra, which should worry anybody;
Also Ruby Ridge, the MOVE bombing, Waco siege...
defmacr0
12d ago
Here, there is settled definition of the word kidnap. You have google. Read it. It is the unlawful taking of a person. There is zero evidence ICE is routinely kidnapping people
I know it's not always avoidable, because it only takes one party in an otherwise good-faith argument, but whenever a discussion starts going like this, there's like a 90% chance it's a complete waste of time.
The other poster made a factually absurd claim with zero evidence
I think it's pretty clearly in the territory of a reasonable Russell's conjugation to describe what ICE is doing. However, I think for someone to honestly back up the connotations that the phrasing implies, they are to some extent required to also express a libertarian stance on other forms of policing. You can't really call ICE raids "kidnapping" but then also think it's ridiculous if I call someone a "kidnapping victim" for being arrested for tax evasion or some other non-aggression that the state declares to be a crime.
I don't really believe that the original commenter passes this bar, but by itself I think it's about equally as silly as if this site started banning people for stating that taxation is theft.
defmacr0
12d ago
Also, making a modest but closer to certain than expected 10% gain on your low-volatility play is probably a lot less likely to trigger an SEC investigation than a massive bet right before some big announcement.
To release some kind of statement, say his heart is with the kids and the widow.
I would be surprised if more than one in a thousand lawyers wouldn't strongly try to dissuade you from doing this, even if you really wanted to.
General side-note, but it would be nice if we could figure out a way to let people express human decency in a way that doesn't potentially create legal liability
defmacr0
13d ago
One of the fundamental results of machine learning theory states (very informally) that every learning algorithm has both a bayesian and a frequentist interpretation.
Is there any specific theorem you're referring to here?
In any case, I also get the sense that equally it seems like everything in machine learning has a third information theoretic interpretation. For instance the correspondence between variational bayes and coding theory with the bits-back argument (link). I sometimes wish I had a personality better suited to working as a researcher (and perhaps a few more IQ points) and to really have pulled on all of these threads. Not to make it sound more mystical than it really is, but I've always had a gut feeling that there are some powerful, unifying ideas beneath this weird amalgamation of concepts from statistics, information theory, statistical mechanics and computer science we're seeing in the development of learning theory.
Though the WWI u-boats were pretty bad. But I guess so was the rest of WWI too. http://vlib.us/wwi/resources/archives/texts/uboatu9.html
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