17 karma · joined August 14, 2019
Another common complaint related to draws is the number of 'grandmaster draws', or 'comfort draws', whereby two players, usually at a high level, agree to leave it at that after a low number of moves (Chess is one of the few games featuring 'draw by agreement', meaning both players may agree to a draw at any point in the game without justification). Almost every grandmaster is guilty of that, and players who do that often get derided by their coaches, the media and amateurs: how dare you, you are a disgrace to the sport, I didn't pay to watch this, etc. I daresay the complainers are either hypocritical or have never been involved in high-level long-form tournaments (7+ days of 4+ hour games each plus rapid/blitz side events etc.). Sometimes both players feel tired and don't want to play it out (usually due to having played it out 6+ hours the game before) and objecting to that is just unrealistic. Chess isn't a gladiatoral arena. Then there are the famous accusations of collusion from Fischer against his Soviet counterparts but Fischer has always been slightly mad his whole life so I wouldn't take anything he said seriously.
What is the IQ needed to draw this implication?
As for neurosci I'll admit it's second-hand knowledge from my social circle and colleagues, though it could be that I live in a bubble and neuroscientists are secretly terrorized to share their mindbreaking findings on the first component of a PCA.
>if nothing else, it measures your ability to take IQ tests, and IQ score has some correlation to “success” in western culture (note i’m not saying “intelligence” anywhere here).
This is circular, since many of the required tests to be "successful" are similar to IQ tests or "g-loaded" as people like to say. Even then, the correlation is weak beyond very low IQs.
>this piece was meant for math PhDs
Lol it is absolutely not meant for math PhDs. I think anyone with a bachelor degree could follow the math (probably, I don't know much about the university system works in the US).
https://medium.com/incerto/iq-is-largely-a-pseudoscientific-...
It's also worth noting that no one in the field of neuroscience (or genetics, for that matter) takes IQ seriously. It's solely an abstract toy for some psychologists to play with.
This example is completely made up and does not appear on the memo. There is no reason to think Damore was thinking about examples like this when he was talking about "lowering the bar", nor is it clear what he meant by "reducing the false negative rate". "Reducing the false negative rate" in a way that doesn't involve "lowering the skill bar" is either an admission that Google hires its applicants in a completely nonsensical way past a certain interview stage and that doesn't transpire at all from the memo. It could be true, but there's no reason to think he thought this, at all.
>Yet again, in the second purported implication you're trying to claim that Damore wrote that female employees are less fit. This is not correct on two points. One, Damore wasn't writing about Google employees or women in tech. He was writing about all women, worldwide. And second, he didn't write that they are less fit to be in high stress roles. He claimed that these thoroughly studied differences in personality make the average woman less likely to want to be in those roles. Again, Damore wrote about preferences - the things that affect the choices that people make - not fitness.
I didn't claim "Damore wrote that female employees are less fit". I claimed he strongly implied that female employees were less likely to be fit. (Talk about putting words in other people's mouth.) Again, I don't see how that could not be the case given the previous two assertions. And again, that's not just my opinion, but the opinion of the National Labor Relations Board.
>Let me put this in simpler terms: The majority of both men and women don't go into tech. Say 99% of men go into fields other than tech, and 99.75% of women go into fields other than tech. Men and women are nearly identical, almost all of them don't go into tech. Saying that small minority that do is larger among men as compared to women due to innate preferences is an explanation as to why we have 99% vs. 99.75%. It is making no statement, whatsoever, about the capability of the 0.25% of women and 1.0% of men that do go into tech.
Thank you I took statistics 101 too and got that the first time, but it's not the reason his firing was justified. I admit that "innate differences" is the part that got the most people riled up (partly because of the underlying sexism, mostly for the bad science; notice how not a single evolutionary biologist - not psychologist - agreed with him) but it was mostly ignored in the decision of the NLRB.
>Saying "men are more likely to be a rapist" is not at all the same thing as saying "you're more likely to be a rapist" to individual men.
If you can't possibly imagine why saying "people with an innate quality you possess are more likely to be bad" could be offending, you probably need to hone up on your social skills. If someone explains over ten pages how people with innate quality X are more likely to be bad, with only a little disclaimer that the magical words "statistically" and "populations" make it all okay to say, and it doesn't raise any red flags, you definitely need to pause and ask yourself: "Is everyone collectively mad and only I am correct, or did I mess something up?" I mean it, sincerely.
Applying deep learning to genomic data is something of a fad these days - the bioinformatics world has caught up with the DL hype of the early 2010s and is trying to use DL on nearly anything that moves for easy papers.
The main issue with DL frameworks in the context of genomics is the format of input data. You pretty much want all your data to be a matrix of fixed size (if you want to use CNNs at least, and that's what everyone is interested in anyway), but that's just not how genomics data works. Sequences vary in length (I see the problems of nucleotide gaps, let alone short indels is left unanswered), alignments are not absolute (they are very much aligner dependent and secondary alignments are a thing), the alignments themselves may stem from different data sources (long reads cover more stretches of DNA but are less reliable than short ones), there is no mention of how ploidy is handled (especially in plants!) and somehow you're supposed to transform all of that into a neat 48x48 array to feed to Keras. Wait, thousands of them. Did I mention the human or plant genomes are often billions of basepairs long? Waiting for bwa to be done mapping on your cluster is the xkcd equivalent of "can't do work, compiling!"
So yeah, sorry to put a damper on this but I'm waiting for something within the reach of practical workability (and believe me the standards of bioinformaticians for workable stuff are low) before getting hyped.
1) Google does "diversity programs" to increase their number of female employees
2) These programs involve "lowering the bar" to help female applicants get into the company
True, he does not explicitly state that:
3) Therefore, current female applicants are likely to be less competent at their job than current male ones
But I fail to see how this isn't an obvious implication from 1) and 2). This is akin to people "merely asking" about the origin of the IQ gap between blacks and whites and acting shocked when accused of racism.
Note that he also played the same game with the following reasoning:
1) Women have higher degrees of neuroticism, leading to anxiety in high-stress situations
2) High-level positions are often ripe with stress
Again, he does not explicitly state that:
3) Therefore, female employees are less likely to be fit for high-level positions
But the implication is still clear as day. Defending yourself behind "but that's not what I said" doesn't work: people are not stupid and can connect the dots, even if they aren't willing to take your reasoning apart in order to show you why they think you're acting in bad faith. The "but it's all statistical, I wasn't talking about female Googlers" isn't a valid defense either: if I were to argue that men are more likely to be rapists than women (statistically true) and therefore companies should abstain from hiring men (or at the very least, quarantine them to be safe and avoid "false negatives") in order to reduce workplace rape, men would rightfully feel insulted and write me off as crazy. "You're more likely to be a rapist" is a lesser insult than "You're a rapist" but it's still one, and hiding behind the adverb "statistically" doesn't change that.
"You know, you think my sexuality is an abomination that should not exist and I will go to hell, but have you ever considered that - hear me out - this could not be the case? Do you have any data to back this up? Aren't you falling into an ad hominem fallacy?"
"Ah right, you have correctly pointed out a gaping hole in my otherwise excellent deductive reasoning. I hereby bow to your argument and am not homophobic anymore."
And once again, the power of rational debate shines through and through.
Your 12th century stories are interesting and all but do not reflect the reality of the world we currently live in. If you live in a large city and have a medium-to-high salary, which is a reasonable assumption to make given HN's demographics, it is in fact easy to get acquainted to other cultures by traveling often (possibly living abroad), learning other languages and/or befriending (or dating) foreigners. Much easier than used to be a couple centuries ago, in any case. If you do, you will find that deep down beneath the veneer of culture humans are very much the same. I don't have data to back this up, this is only from my mere experience.
Pretending that cultural differences don't exist is harmful and condescending; acting as though they were insurmountable and irreconcilable is downright dangerous and leads to disaster.
The comments are on point: the best thing about psytrance is the community, and the extremely friendly hippie vibe found in these festivals as well as, let's be honest, the extremely copious amount of free-flowing available drugs can make any one of them a live-changing experience.
I wonder how it compares to the American equivalent, which would be something like Burning Man? I guess?