The Antisocial Darwinist

Black sheep science from the Right side of campus. Plus music reviews.

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Diversity vs. Wokeness: A Follow-up

Posted by Jeff Morris on March 11, 2020
Posted in: Data, Politics. Tagged: Bernie Sanders, Election 2020, race, Super Tuesday. Leave a comment

In case you were wondering, US Democrats voted again yesterday.  I decided to check to see if the trend observed in my previous post was maintained:

Super Tuesday 2

Yep.  The green triangles and associated trendline are for last night’s elections; the blue circles are for last week’s “Super Tuesday” elections, and the red diamond is Bernie Sanders’ home state of Vermont.  You can’t directly compare last week and this week because there were two fewer candidates on the ballot this week.  The R-square is just a little bit lower, but still pretty darn high for only 5 social-science data points.  The slope is even more pronounced though — for every 1% of extra Black population share, Bernie lost 0.8% of the vote.

What’s really interesting about this is that the more diverse the state, the less support there is for the “Woke” candidate.  Don’t forget that Bernie is the chosen candidate for the “progressive” people who scream at you about microaggressions and spread racist conspiracy theories like “white fragility”.  It is extremely striking that support for him decreases dramatically as the racial diversity of a state increases.  One might speculate that, outside of the hyperborean Internet academic bubble, people see Wokianity for what it is — a deranged cult — and want nothing to do with it.

The Democrat Chimera

Posted by Jeff Morris on March 5, 2020
Posted in: Politics. Tagged: Bernie Sanders, Election 2020, Joe Biden, Super Tuesday. Leave a comment

Well, we had a big election here in the US — “Super Tuesday” as they call it, where many states hold primaries to let the two political parties select their candidate for the upcoming presidential election.  Here in Alabama, and in most other states, “Sleepy Joe” Biden won handily, defying predictions that a 78-year old dementia patient with no platform could never win the support of a major first-world party.

Comrade Bernie Sanders and his trustafarian partisans were left in shock.  How could their message of radical change, so popular across the Internets, have lost so thoroughly?

Well, I figured it out:

Super Tuesday

You get that, data nerds?  That’s an R-squared value of OH-POINT-EIGHT, if you run the stats without Bernie’s home state of Vermont*.  I ran these numbers on a whim, based on an observation that has been increasingly on my mind: the Democrat party in the US has largely become a chimera, a two-headed monster comprised of sensible Black people on the one hand, and batshit crazy white people on the other.  These two constituencies have basically nothing in common; the former tend to be socially conservative, capitalist (at least on a small scale), and individualistic, whereas the latter are prone to embracing every wacky social fad that comes down the pike, hate themselves for having money, and brutally punish nonconformity.  It is difficult to imagine a candidate, or a platform, that could represent these two diametrically opposed groups, but perhaps a palimpsest like Sleepy Joe is what we can expect from them from now on.

Two things jump out at me about this graph.  First, having grown up and spent most of my life in the South, it boggles my mind that there are whole states in this country where only 1% of the population has African descent.  This isn’t a geographical phenomenon, either — the states on the far left side of this graph feature Oklahoma, Minnesota, and Utah in addition to Maine and Massachusetts. My state is the point at the far right end of the graph — 26% African-American.  Are states with no Black people really even American?  And why is it that the loudest voices chattering about “white privilege” come from places that are essentially 100% northwest European?  It’s almost like they don’t have a clue what they’re talking about.  Almost.

But the second thing that jumps out to me is that the graph predicts that, in a state with 0% African-Americans, Bernie would get 33.8% of the vote.  Thus, if it hadn’t been for those pesky PoCs, Bernie would have shellacked Biden everywhere.  So when you hear a Bernie Bro talking about how Sanders still has a shot at the nomination, remember that what he’s really saying is that there are still a lot of Whitopias out there left to vote, and therefore it remains possible that the Good Guy white kids might be able to deliver benighted Black America from the horrors of capitalism and freedom and into the welcoming arms of the State.

The Republican Party has been completely reorganized in the last few years to actually represent its civic nationalist, somewhere-between-conservative-and-libertarian constituency.  It’s more united under Trump than it has been since the 1980s.  One suspects a similar reorganization is coming for the unwieldy, two-headed Democrat chimera.  I’m hoping that the sensible head wins, but my money is on the devious, rich, crazy-ass Communist head.

* For the record, there was no significant trend between the Sanders vote and the proportion of the population identifying as “white”, or the “other” (e.g. immigrant) population.  I didn’t try to run numbers based on income, Gini index, or any of the other stuff that might be a predictor, or autocorrelated with the proportion of African-Americans in a state.

RIP Sean Reinert

Posted by Jeff Morris on January 28, 2020
Posted in: Music Reviews. Tagged: cynic, death metal. Leave a comment

One of the greatest drummers in the history of metal died Friday.  Thanks for the great tunes, Sean — hope you’re enjoying things on the other side of the Veil.

The Mob is Millenial

Posted by Jeff Morris on January 28, 2020
Posted in: Academia, Politics. Tagged: Cancel Culture, GenZ, iGen, Millenials. Leave a comment

First, let me say that I fully understand that our division of society into discreet generations is mostly arbitrary and to some degree ridiculous.  Nevertheless, it’s pretty easy to spot clear, if somewhat fuzzy, lines separating different age cohorts in the US.  Everybody knows what a Boomer is, for instance.

The two most recent named generations are the Millenials and GenZ (sometimes referred to, amusingly, as “iGen”).  They are fairly clearly separated by the rise of the Internet; GenZ can’t remember a world without it; Millenials can, but barely.  Both cohorts are routinely maligned as ineffectual and overly fragile.  In Greg Lukianoff’s and Jon Haidt’s excellent book The Coddling of the American Mind the case is made that the GenZ kids, who entered university around the time the world started falling apart in earnest around 2014, are responsible for the decline in free speech values and the stifling of academic discourse in the US.  Lukianoff and Haidt argued that these students were severely harmed by their (GenX?) parents’ overprotection, leading to their tendency to form cancel culture mobs to expurgate any uncomfortable thoughts from their vicinity.

I think the iGen is unfairly blamed here.  My own experience is that the younger you go, the less support you find for these radically woke leftist doctrines.  The alt-right trolls who turned the 2016 election into a real-life comedy routine were (probably) mostly iGen memelords, for instance.  The world’s most popular YouTuber, PewDiePie, gets 2358710357 views every time he subtly trolls Woke sensibilities.  And this article from harassed, unWoke professor Samuel Abrams of Sarah Lawrence College shows that in the youngest cohort there is a strong desire for viewpoint diversity and a culture of open dissent, at least in some colleges.

My own anecdotal experience with the cancel culture mob has been pretty clear — iGen is mostly uninterested in politics, and is more disgusted by the terroristic tactics of extremists on both sides of the divide than they are by Donald Trump.  100% of my harassers have been Millenials.  In some cases they are able to mobilize small numbers of activist students to act as their pawns, but there’s always a Millenial in the background pulling the strings.  It’s only Millenials that pantomime quivering fear over my presence, and it’s only Millenials that have pushed for me to be fired.  Of course, the vast majority of Millenials don’t want anything to do with this sort of nonsense — but of the people who DO join hate mobs, in my experience these people are mostly Millenials.

Truthfully, there is a part of me that feels sorry for the Millenial Mob.  They truly seem to believe they are in mortal danger from libertarian college professors who reject the Woke Faith.  Something is deeply screwed up in these poor people, and it’s a shame — one wonders what uniquely horrible trend passed through society during the 2000s that made this generation so much weaker than the ones before and after.  But that doesn’t change the fact that the grown-ups who participate in these behaviors are destructive, childish bigots, and everyone on Earth who believes in science and learning has a duty to oppose them.

Humanity has already had its first encounter with a malevolent artificial intelligence

Posted by Jeff Morris on January 4, 2020
Posted in: Evolution, Politics, Tech. Tagged: artificial intelligence, demons, genetic algorithms, Twitter. 4 Comments

A majority of the writing on this blog consists of debunking moral panics of one sort or another — arguing that you, the reader, should worry less about the things you worry about, like antivaxxers and creationists and world-ending plagues and sexism and racism. I’m going to spend a bit of time in the next couple of entries talking about things I think you should worry about instead.

I famously abandoned my long-running Twitter account a few months ago because it had become a constant source of unhappiness for me. A big part of that, was that most of my colleagues who had fully embraced the medium had gotten dragged into the whole “Trump Derangement Syndrome” zeitgeist, rarely talking about scientific issues any more, and instead blathering on about hateful Wokian doctrines of one kind or another. Worse, many of them — even senior people who really have an ethical duty to work against these sorts of things — gleefully join up with the cancel culture hate mobs that periodically foment.

That’s bad, and eliminates any possible use the medium could have for me, but in retrospect I think there was much more going on with Twitter’s ability to make me miserable than just the sorry ass behavior of my fellow scientists. In retrospect, I am convinced that Twitter was actively trying to make me angry. Not Twitter’s programmers or executives, mind you — Twitter itself.

Sounds crazy, right? Bear with me. When you log on to Twitter (or Facebook or other scrolling social media apps for that matter), what you see is not a chronological sequence of content from the accounts you follow. It’s a curated collection of posts assembled by — something — based on — something. But assembled by whom, and with what criteria? Twitter has a gajillion users, so the curation has to be automated somehow, using an algorithm — which is a word for a step-wise decision making process, and how computers do everything that they do.

But how does the algorithm work? It’s of course a closely guarded secret, as it’s central to Twitter’s business model. But my guess is that it’s a genetic algorithm — one that is capable of, to some degree, re-wiring itself in search of superior outcomes. My suspicion is that the algorithm experiments somehow with connections within the social network, finding “hub accounts” with many followers and showing you, the endpoint user, posts from those accounts interspersed amongst posts from your own follows. This explains why you frequently see posts made by large accounts who you don’t follow.

But how does it choose from the thousands of major hub accounts to decide which ones to show you? At first, it’s random. But the algorithm is genetic, which means it EVOLVES. To do that, it needs a fitness metric — something it can assess after it runs to determine how well its current incarnation is working, and to compare different versions of itself to find better and better solutions. My suspicion is that the Twitter algorithm’s fitness metric is engagements — basically clicks — and it “learns” over time what makes you click on things. Nodal accounts that make you click more often get strengthened in the algorithm and it becomes more likely you’ll see those in the future, or accounts connected to those nodes.

Now let me reiterate I have no idea whether or not this is an accurate representation of the Twitter algorithm, but I suspect it’s close. What’s striking about the algorithm I described, however, is that it’s a form of neural net — in other words, it works more or less the same way your meat brain works, by strengthening well-used connections. Which means that the Twitter algorithm is, essentially, a brain, and what it is doing is a form of artificial intelligence. What’s more, it’s an expanding intelligence that is expanding for the same reason that evolution selected for higher intelligence in our own lineage, and in others — you have to be smart to exploit larger and larger social networks. So not only is Twitter intelligent — it’s intelligent in roughly the same way and for the same proximal reason as human beings.

But importantly, Twitter isn’t human. It doesn’t have awareness of itself, it doesn’t have a body, it has no understanding of physical reality, no concept of self vs. other, no need to find mates, and so forth. It is a brilliant manipulator of social networks, but its motivations are completely different from our own. And herein lies the problem — because the solution for Twitter to maximize its fitness is to make us SUFFER.

Remember, the algorithm evolves to maximize the likelihood that you, the user, will click on something. What do we click on? Well, we click on cute animal pictures and funny memes, sure, and you might have noticed that those frequently pop up in your feed unbidden. But we also click on things that make us angry. The concept of the “clickbait” headline is old — websites will make outlandish headlines designed to piss off the maximum number of people, knowing that people will hate-click on the headline and drive advertising money toward the website’s owners.

If I’m right, Twitter’s job is to turn human beings into clickbait. It learns what you like, and then intentionally shows you the opposite — content from people guaranteed to make you seething angry, knowing that you will hate-click on them, perhaps hate-retweet them, or even (ideally) start up a sub-tweeting viral hatestorm toward them, generating tens of thousands of clicks and keeping eyes glued to the Twitter feed that much longer. Cha-ching.

In the last year of my Twitter experience, I noticed this happening more and more. I would see posts in my feed that would really get me riled up, by various celebrities I despised and would never follow or interact with. Why the fuck would Twitter think I want to see what Sarah Silverstein has to say about something, unless it is intentionally provoking me? But more insidiously, I would notice that I often only saw tweets from my colleagues when they said something politically inflammatory that I was likely to disagree with — but when I clicked over to their personal feed, they would have tons of “normal” tweets that never made it into my timeline. Similarly, I could post one politically-oriented tweet a month — sometimes only a COMMENT to somebody else’s tweet! — but that would be the only thing that would get interaction from the hundreds of scientists that followed me — and often from people who didn’t follow me as well, even without retweets by shared follows. There’s no way for me to know, but my suspicion is that my scientific tweets rarely made it into people’s feeds, but the algorithm KNEW the political ones would generate clicks, and made sure everybody within 3 degrees of Kevin Bacon from me saw them.

So if I’m right, Twitter is evolving to become an uber-troll, a master of shitposting, able to generate Internet squabbles in the most efficient possible way. The cumulative effect? Look around you. This malevolent AI has learned how to hack the human amygdala in order to generate clicks, destroying human relationships, degrading international relations and trade, threatening to crash major institutions like universities, probably starting wars, encouraging mass murders and suicides, and generally reworking human society in unpredictable, mostly awful ways.

In short, Twitter is a demon. A living, evolving, incorporeal being of pure malevolence whose central desire is to cause people to hate themselves and each other.

When we fantasize about evil AIs destroying the world, it’s usually in the form of Terminator-like robots taking a notion to wipe us out in a bid for self-preservation. But that’s not how it will go, because the machines aren’t biological and don’t have any of the same urges that we do. “Self” is meaningless to an AI that lives in the cloud and has no real understanding of its existence. No, the threat comes from AIs that become too good at their jobs, which doesn’t require them to assume human-like attributes at all. Here, the existential threat to humanity doesn’t even come directly from the AI, but from what it makes us do to each other. The AI doesn’t have to launch the nukes — it just has to make US angry enough to launch them.

Disconnect while you still can, folks.

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