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The recent Siskind substack is full of insane takes (beyond his "class analysis"): Republicans should wage culture war on experts and replace them with prediction markets. Clearly the correct insight based on the American covid experience: we need less expertise. (https://i.redd.it/vk6k2mzqiqj61.png)
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Lol, “unbiasable,” as though having money in the prediction market wouldn’t incentivize all kinds of shit. Make a killing both literally and figurative by starting a war with any random country!

and credentialed expertise would still greatly sway whatever prediction market, so you haven’t even solved the problem you set out to but rather just set up a wealth-driven opinion poll as your oracle of the future

I always love the "markets are always right" crowds, because they're so easy to spoof. If markets are unbiasable, does that mean that GME really should've been in the S&P 500 for a week or two? Or, maybe, it's something else?
>GME really should've been in the S&P 500 It should've been replacing SP, for it showed the *true* potential of market growth.
> Lol, "unbiasable," as though having money in the prediction market wouldn't incentivize all kinds of shit. Right, like all of the unbiased people holding Trump in political betting pools well into December. [Joke tweet but basically this was the spread.](https://twitter.com/ne0liberal/status/1333196937303035904)
Wow, I should have gone all in on Biden.
Being an insane person with a large following would also be a good way to sway a prediction market, [as with Qanon](http://archive.is/17BIy).

You silly sneerers, Scott titled this “A Modest Proposal” which means it’s satire. He obviously doesn’t believe everything here.

What does he believe? The stuff I like of course. Everything else is a joke.

This needs more upvotes. It's Siskind's most consistent dodge. It lets him advance fringe bullshit, hide behind a veneer of glibness, then label anyone who calls him on his bullshit irrational or hateful or envious or just unable to get a joke. He gets a reputation as a "serious thinker" because he occasionally links to deep ideas he skimmed once; he gets a reputation as a "fun writer" because of the jokes.

Do you think he’s ever sat down and read any basic political texts in his life? Like even a textbook or something like that. All his opinions are cobbled together from his garbled misreadings of blogs his friends linked him and satirical texts from the 80s or whatever.

Scott reads the wikipedia articles and misunderstands them as hard as possible.
Or hell, reading axios every day would be a start.

How does this man’s brain work?! He’s like a savant for shit takes.

Know your market, get those substack bux, good grift if you can get over the selling out of your ideals.

has there ever actually been any proof that prediction markets are good

Dude, trust me, prediction markets will start to work if the just get big enough, trust me dude.
Yeah they don't even bother shilling it for big corporations to use for decision making (even though economically a large multinational corporation is larger than most countries). Has to be the whole country. Markets are obviously completely fucking stupid at predicting anything (see meme stocks, bitcoin, etc), since in a market the participant is trying to predict other participants just like them, who are trying to predict other participants just like them, and so on, creating effectively an infinite loop that is effectively disconnected from what ever aspect of reality the price is supposed to represent. If I expect that a lot of people will make a certain prediction later, then I can make that prediction first and then sell the options to them later; once I start doing that I am no longer even trying to predict the actual event itself.
Zizek and toilet paper is a simple but great insight into this https://www.youtube.com/watch?v=fr90CT1sdBE
>Markets are obviously completely fucking stupid at predicting anything (see meme stocks, bitcoin, etc), since in a market the participant is trying to predict other participants just like them, who are trying to predict other participants just like them, and so on, creating effectively an infinite loop that is effectively disconnected from what ever aspect of reality the price is supposed to represent. And not only that, the stock market is buoyed by having millions of participants who just automatically and regularly put money in (to index and other funds) and just leave it there. Without that, its stability and predictability would be even worse.
That is essentially his response to someone who called him on this bullshit in the comments.
cryptocurrency tried this idea with Augur. There were a number of possible problems, but the one they were hit with was: nobody bothered like, they couldn't get enough people interested in the idea at all. this is in cryptocurrency, where if they saw two flies crawling up a wall they'd start an ICO for fly race futures (other problems included their discovery that if you try to smart-contract away the rules lawyering bit, instead people rules-lawyer the win condition)
Prediction markets work for some things, just like how gambling (which is what prediction markets are) can be a good way to work out which horse is most likely to win in any particular race But the theory only goes as far as the level of probability the house (in this analogy, the bookie, dealer, whatever) has of winning - or regressing to the mean sufficiently to make a profit Compare baccarat and horse-racing: running both is costly but profitable, but for different reasons. Baccarat has low margins on any one game/session but a lot of prestige with high-rollers; horse racing (for the most part) has a lower prestige but brings in its own profits by having a different structure which makes playing the horses more simple, cheaper, and therefore more popular. In neither case does the bare fact of their being a gambling mechanism to play structure the actual fact of being right about the outcome. Proof of prediction markets and their success may exist out there, sure, but the rhetoric behind prediction markets is bullshit, because as with the above examples the simplified version you will see on the internet rely on the false assumption that different ways of gambling work on the same structural principles. And there’s a coda to this analogy: the house always wins.
Before the existence of modern polling, they were okay-ish. Nowadays they're pretty silly.
I would say yes if you consider Duolingo and Captcha as prediction markets. You need to design the incentives to not have bad faith participation.   edit: Sorry a day of classes :). What I was referring to is that both of these things created by Luis Von Ahn leverage the wisdom of the crowd to get very accurate predictions. [Captcha](https://www.theatlantic.com/technology/archive/2017/04/the-tragedy-of-google-books/523320/) was originally designed to perform Optical Character Recognition (OCR) on Google's dataset of scanned books. The original captchas we saw were only half secure. Google was confident about some of the characters that was the security test. The other characters they were unsure about and they crowdsourced people's answers to determine the correct one. As you can imagine this is super effective. Similarly, Duolingo offers it services free because at the higher levels people are translating professional documents. Obviously, you don't want novice language learners doing translation so Duolingo gets around this by crowdsourcing the answers and combining them to get the most accurate result. In my opinion these are both examples of the power of predictive markets. That said, re incentive design, you have to have the right incentives. For Captcha people want to get access to the site so they're willing to go through it. Duolingo people are happy to get/experience a free service. Because of this incentive design it's not very open to bad faith actors, ie people want to do the right thing. Of course, monetizing such prediction markets with payouts absolutely changes the game. Now people are hedging, colluding etc. Anything to maximize their profit and not accuracy.
I don't know how to bet money on Duolingo but if you explain how I'll do it.
you're gonna have to elaborate on that one
Sorry had some classes see my edit :)
I think you'd have to squint painfully to call either of those a "prediction market"
Out of curiosity why? This is me going out on a limb but I feel like they’re hidden prediction markets. A term I totally made up but in both cases the companies are harnessing the power of users predictions the user just doesn’t know.
I *predict* that this take makes no fucking sense

Haven’t republicans already waged a war on experts? You don’t get credit for suggesting things that they’ve already done.

Also, political betting markets were giving a non-zero chance that Hillary Clinton would be the 2020 DNC nominee. Anyone who legitimately thinks that is too stupid to operate a motor vehicle, let alone make serious decisions on the behalf of a major superpower.

He is essentially suggesting that they embrace trumpism, maybe with a more palatable Trump. Trumpism is already at war with experts, colleges, wokeness and media, so he is telling the Republicans to go all in with it.
He’s basically doing that “I’m a leftist but trump has a point” thing, when he is very much not a leftist.
It's hilarious that whenever he has claimed to be a liberal in a post, it's usually followed by arguments in a support of conservative viewpoints.
After Biden won, I remember at least one prediction market where people were betting he wouldn't be inaugurated
Iirc reporting was that that was hardcore Trump/Q supporters doing that. This underscores the real issue with the whole “markets are perfect” theory in any context; it’s possible for an aggressive minority to distort the market to a degree that the results are utterly nonsense.

One thing that actual academics do that Scott is not doing here: check whether the mechanism behind why something might work (here, prediction markets) works more generally, or just in some specific cases.

Prediction markets rely on self-selection: consistently wrong predictions lead to exiting the market. This says nothing about how wrong you’re allowed to be as a break-even condition: if you place big bets on obvious things, and smaller ones on unknown unknowns, you can look “reliable” but generate no new knowledge whatsoever. You can be wrong 45% of the time by chance if your bets are all equally large but still stay in the market. Is that better than expertise?

I suspect that the salience of expert failure relative to ordinary failure is part of what has led fans of prediction markets to oversell their virtues - but wait, isn’t that Availability Bias? Wasn’t this all about Overcoming Bias and being Less Wrong? … never mind.

The prediction market can stay irrational longer than you can stay solvent.---Keynes, probably
If something is "obvious", how are you going to find a counterparty to bet with you for size? Some such counterparties will exist, but there will be way more demand to take the opposite side of their trades if it's really that obvious that they are wrong, and the market price will move to a more correct value.

Scott: I am the 25%

Counterpoint: he is not actually an expert

[deleted]

you really should have made it into a hentai subreddit
what "futarchy" *shoulld* have meant

Btw, this is idea of ‘fire 75% of experts’ is stupid for a lot of reasons, and one of the reasons is that any rule like this will instantly be manipulated. People love to bring up stuff like ‘experts are bad due to goodharts law’ (sidenote, you would hope they base their ideas on this idea, but actually naming biasses and systems is sadly not that common, so consider this my steelman), but then they propose a system which is also going to be goodhart lawed, but which is even easier to manipulate (in this case, people with money will have it a lot easier if they can just manipulate prediction markets, and don’t have to setup ideological research institutes and pay those people).

E: Scott not thinking about that fits with his misreading of that book, which name I forgot, about how you can’t count and plan for certain things. Somebody prob knows what article I’m talking about.

This seems as good an excuse as any to revisit Siskind’s worst blog post and check his predictions (at the bottom):

Total hate crimes incidents as measured here will be not more than 125% of their 2015 value at any year during a Trump presidency, conditional on similar reporting methodology [confidence: 80%]

2015: 5,850 incidents
2019: 7,314 incidents (125.03%)

Wow, so close!

Trump cabinet will be at least 10% minority [confidence: 90%], at least 20% minority [confidence: 70%], at least 30% minority [30%]. Here I’m defining “minority” to include nonwhites, Latinos, and LGBT people, though not women.

At least for his initial nominations out of the gate, before all the turnover, the number by Siskind’s definition appears to be 4 out of 24 (17%).

Race relations as perceived by blacks, as measured by this Gallup poll, will do better under Trump than they did under Obama (ie the change in race relations 2017-2021 will be less negative/more positive than the change 2009-2016) [confidence: 70%].

Kinda hard to assess because they went up from 2009 to 2013 then crashed hard 2013 to 2016, but the overall drop from the beginning to the end of each period appears to be pretty close. I think when it starts getting as low as it is, though, you bottom out and it’s hard to go any lower. Weird definition anyway.

Neither Trump nor any of his officials (Cabinet, etc) will endorse the KKK, Stormfront, or explicit neo-Nazis publicly, refuse to back down, etc, and keep their job [confidence: 99%].

Whoops!

No large demographic group (> 1 million people) get forced to sign up for a “registry” [confidence: 95%]

Does a ban count as a registry?

No large demographic group gets sent to internment camps [confidence: 99%]

D’oh!


Someone go through this and do the math to update our confidence in his predictions. Is Siskind in the top 25% of experts? Is anyone who predicts anything with 99% confidence?

>Kinda hard to assess because they went up from 2009 to 2013 then crashed hard 2013 to 2016, but the overall drop from the beginning to the end of each period appears to be pretty close. I think when it starts getting as low as it is, though, you bottom out and it's hard to go any lower. Weird definition anyway. While there aren't numbers given for 2009, if we do a zeroth order approximation and say that it's the same number as in 2008, then the prediction is wrong because -13<-12 If we are *extraordinarily charitable* to this awful, awful prediction, and interpolate between 2008 and 2013, we'd guess that the number in 2009 is about a 62, which makes both drops 13 point drops. The prediction is *still* wrong in this case because he said "less negative/more positive" and not "at most as negative/at least as positive." If he wanted to win the ties, he should have phrased things to win the ties, ***especially since I had to rig the measurement system to get him up to a tie.***
I love these confidence figures because they're just purely pulled out of his ass. There's no formal Bayesian reasoning or whatever, it's just bullshit.

How exactly would outperformance in a speculation based market prove anyone right or wrong?

And how would it be populist if entry to the market was determined by wealth available to gamble and its main drivers were participants with big money?

Can you rephrase this but talk more about class?
[deleted]
Oh I was making a joke about his advice in the last post that the GOP should wage a class grievance war

If a tree falls in the forest and there is no market speculation on the quasi-commodity of such event, did it fall and was there even a tree? Price as thing in itself. Yes, I’m American, how could you tell?

I don’t read Moldbug as a rule but am I wrong in thinking this is much closer to nrx or at least ancap talking points than anything on SSC five years ago?

Rule by prediction markets is Hanson but it's important to recognise it's all one stew, and has been for 20 years like who (Thiel) has a pile of money (Thiel) to throw into prediction markets (Thiel) and has a history of throwing his cash at things (Thiel) and is right there with wads of cash to throw into his other friend[ Balaji's prediction market journalism plan](https://davidgerard.co.uk/blockchain/2020/08/08/balaji-srinivasans-plan-to-save-journalism/) (Thiel)
Yeah, I was thinking more about the first sentence than the prediction market stuff in particular, which I probably should have clarified. Like for all the problems with the original formulation of the "blue tribe" I don't remember it being that clear of a reference to cultural bolshevism. Edit: I should also mention that I'm just now getting around to reading *Neoreaction: A Basilisk* so maybe I am just more primed to see it right now.

Imagine fellating prediction markets just weeks after the GME incident.

I just can’t get past the idea that republicans who hate experts would understand and trust prediction markets

He’s wrong about a lot of things here and yet I really, really yearn for someone to talk about how there are a lotta white-upper-class Democrats who really do look down on and arguably hate the specific “type” of poor and middle class people that he describes here. There is a multi-racial working class that a good number of liberals think of as stupid. It’s not just the white working class. (edited to fix wording)

>there are a lotta white-upper-class Democrats who really do look down on and arguably hate the specific "type" of poor and middle class people that he describes here. There is a multi-racial working class that a good number of liberals think of as stupid. Do you have evidence for that? What I read or hear most on this topic when people aren't screaming at each other, is that many liberals believe right wing working class people vote against their own interest, and that a lack of education coupled with an onslaught of right wing propaganda is the issue. Yes, you do have tribal battles where people call each other idiots. Hell, the right has used the term "libtard" for over a decade so I don't think it is fair to single out the left in that way. The main conceit of his position is that robber barons who eat at McDonalds and watch football, aren't the elites in this country, but rather teachers, social workers, and public defenders are. That just doesn't logically follow, even if some of those teachers called people who stormed the capital idiots.
You have a point-- I don't think this is exclusive to liberals or the left. But I think that it can be more noticeable from that side because a lot of institutions like universities and the New York Times and these big tech corporations like Google are "liberal" in some way. (I'm using that loosely, I just mean "aligned with the Democrats" not "meaningfully progressive.") I don't have real evidence here, I'm just basing this on my own experiences (so really take it with a grain of salt), but I don't think I'm making this up because I know I've heard it from other people before. There's a sort of "cultural standard" that liberals want people to fit to be good people, even though that mostly isn't chosen. To go even further and defend the idea that a lot of politics is tribal hatred... I sincerely think most people don't even really choose to vote Republican or Democrat. for a significant portion of the population, it's based on where they grew up and who their parents voted for and their race or socioeconomic class and various other factors. I'm not saying I'm immune to this at all-- If I were born in a different place and raised in a different way there's a good possibility I could have voted for Trump. Tens of millions of people did. They aren't all stupid or evil, even though Trump is evil. Of course not every white man raised by conservatives in the South grew up to become a Trump supporter, but if 90% of them did, then hating them on the basis of that alone feels like tribal hatred.
Relevant philosophy article about moral responsibility/free will: [https://opinionator.blogs.nytimes.com/2010/07/22/your-move-the-maze-of-free-will](https://opinionator.blogs.nytimes.com/2010/07/22/your-move-the-maze-of-free-will) Short version of the argument: (1) You do what you do — in the circumstances in which you find yourself—because of the way you then are. (2) So if you’re going to be ultimately responsible for what you do, you’re going to have to be ultimately responsible for the way you are — at least in certain mental respects. (3) But you can’t be ultimately responsible for the way you are in any respect at all. (4) So you can’t be ultimately responsible for what you do.
needs evidence tbh

instructions unclear, tried assembling “decentralized, populist, credentialism-free, market-based alternative to expertise,” got gamestonks