The "Bet On Everything" Epidemic Is Actually Even Dumber Than You Think
How Money Works
0:00 Bet on anything markets have just had their best years ever.
0:03 These platforms let you gamble or sorry I mean
0:06 trade on everything from elections to the numbers of starving
0:09 children in active war zones all the way down
0:12 to Jake Paul getting the snotbeat out of him.
0:14 Now as a shock to absolutely nobody the proliferation of these markets
0:19 is already having some questionable impacts on the state of our society.
0:23 But that's easy to ignore when these platforms are bringing in this much money.
0:26 Just call sheet and poly market, the two largest prediction markets right now,
0:30 are on track to handle over a hundred
0:32 billion dollars in trading volume this year alone.
0:35 And other businesses have noticed this.
0:36 The mass adoption of betting on everything has become so widespread that it's
0:40 threatening the thinly veiled gambling facilitated
0:42 by platforms like Robin Hood and Coinbase.
0:45 So they are just starting their own prediction markets as well.
0:49 Within just the last year,
0:51 no less than 12 major organizations, including CME Group,
0:54 Sports Illustrated, and Trump Media's True Social
0:56 have launched or co-hosted their own prediction markets,
0:58 so that no matter what platform you happen to be using,
1:01 you can conveniently bet your rent money on whether
1:03 Aliens will be confirmed before GTA 6 is released.
1:06 Like a lot of modern financial developments,
1:08 it would almost be funny if it wasn't
1:11 going to have such devastating consequences on average people.
1:14 But hopefully by now you already knew all of this.
1:17 What most people haven't noticed so far, though,
1:19 is the businesses that stand to make the most money out of all of this.
1:24 And spoiler alert, it's not the market facilitators themselves.
1:27 People who think they're going to win and literally
1:31 lose all their money and end up driving Uber.
1:33 Going to use prediction markets to figure
1:35 out what's actually happening in the world.
1:37 On eports, on video game items, on slots with those items,
1:40 financial market that prices questions about the future.
1:43 So now I'm here doing Uber Eats on a daily, sleeping in my car.
1:47 So please don't gamble guys.
1:49 Trust me.
1:50 Okay.
1:50 So as a bit of technical housekeeping,
1:53 it's important to understand the mechanical differences
1:55 between modern prediction markets and more traditional bookmakers.
1:58 A traditional bookie or sports gambling operator like DraftKings
2:01 or FanDuel effectively makes bets directly against their clients.
2:04 If you bet on Ohio State to beat Michigan,
2:07 the company themselves needs to pay you if Ohio State does indeed win.
2:11 Now, normally they are going to give you worse
2:13 odds than the true expected value of that bet,
2:15 which is how they make their money.
2:17 If the game is a true 50/50 tossup,
2:20 then they might only pay out $1.95 for every dollar that bets correctly.
2:24 Now, the term bookmaker actually means that for them to operate consistently,
2:28 they should build a book of bets for both sides
2:30 on this game so that no matter which team actually wins,
2:33 the losing bets pay for the winning bets,
2:34 and they get to keep a nice little margin either way.
2:37 Filling up a book of perfectly weighted bets is actually quite challenging.
2:41 If too many people bet on one particular team,
2:44 then that leaves a bookmaker exposed to a potential loss if that team wins.
2:47 So to counteract this, they will try to get
2:49 more people to bet on the opposing side by offering
2:52 better odds to them and worse odds on the team
2:54 that already has lots of people betting on it.
2:56 In the past, this would be done by human traders sitting at a desk
3:00 that looked like a regular stock trader desk in a hedge fund.
3:03 But today, most platforms like this use sophisticated algorithms to manage
3:06 all of the thousands of individual games they take bets on.
3:10 Prediction markets like Khalshi, Poly Market,
3:11 and the dozens of copycats that are trying
3:14 to cash in on this degeneracy are slightly different.
3:16 They never directly take on the bets themselves.
3:19 They just offer a marketplace where people
3:22 can come together and trade on their disagreements.
3:24 You might log into one of these platforms and offer
3:27 20 to1 odds on Atrioc reacting to this video,
3:30 but the platform itself doesn't take you up on that bet.
3:32 It just posts it until someone else comes along and agrees to bet against you.
3:36 It varies slightly from each one of these businesses,
3:39 but they then normally take a small fee
3:41 of around 1% off payoff from whoever wins.
3:44 Now, this slightly different model of just facilitating bets rather than
3:47 directly taking them has allowed them to do a few things.
3:50 The first is skirting around regulations.
3:52 Since they are technically just facilitating trades between two
3:55 separate parties who are agreeing on a financial contract,
3:58 they are regulated by the Commodity Futures Trading Commission,
4:01 assuming they are regulated at all.
4:03 These bets are classified as just buying financial derivatives.
4:07 So, the regulations and even age limits are not as high
4:10 as if they were overseen by a state gaming board.
4:13 Coffeezilla has done a series of great videos on the absurdity
4:16 of how these platforms get around laws that should obviously affect them.
4:18 So, I will leave a link to that below
4:20 if you haven't already seen them already because I'm sure
4:23 at this point with the amount of gambling or gambling
4:25 adjacent ads you have had blasted into your prefrontal cortex,
4:28 none of this is all that surprising to you anymore.
4:31 But the slightly less obvious thing that the business model
4:34 of the bet on everything platforms has allowed them to do
4:37 is to open up their back door to hedge funds who
4:39 can turn this whole thing into their own protected hunting range.
4:42 And it should probably go without saying, but you are the prey.
4:47 So, it's time to learn how money works to find out
4:49 how the real money behind these platforms is really getting made.
4:52 This video is sponsored by ODU.
4:54 ODU is a complete business management
4:56 platform that brings sales, CRM, accounting,
4:59 inventory, manufacturing, and a ton of other tools inside one connected system.
5:03 What stands out is how easily everything works together.
5:06 You pick the apps you want, and they sync right away.
5:10 The CRM gives you predictive lead scoring.
5:12 The inventory and manufacturing tools track everything in real time
5:15 and the whole setup keeps your operations aligned without feeling overwhelming.
5:18 We have been using ODO ourselves for both compounded daily
5:22 and the how many works library and it has simplified a lot.
5:26 Instead of juggling different services,
5:28 all our subscriber management, content updates,
5:30 and workflow tasks sit in one dashboard
5:33 which makes the day-to-day so much smoother.
5:35 It is also very easy to learn.
5:38 sending invoices, planning production,
5:39 checking inventory, starting new projects,
5:41 customizing the interface, all of it feels straightforward and organized.
5:44 If you want to see how ODU can streamline your own business,
5:48 use the link in the description to try it with a 15-day free
5:51 trial or keep any single app free for life with no credit card required.
5:55 One of the other less obvious benefits to the prediction market business model
5:58 is that since these businesses don't take on any of the bets themselves,
6:02 the amount of money they need to start these businesses is far lower.
6:06 Even under the most accommodating state gaming boards,
6:09 regular casinos or bookmakers are legally required to have enough cash
6:12 in reserve to cover all bets and cash withdrawals at any given time.
6:16 For big operations, this can be billions of dollars,
6:19 which is a significant barrier to entry
6:21 for any startup that wants to disrupt the gambling, sorry, prediction market.
6:25 The prediction market model means that people are betting against each other,
6:29 which means the business itself can directly be liable for any payouts.
6:32 Now, this has made it a lot easier for every
6:35 app in your phone to launch their own micro casino.
6:37 But it does present another problem.
6:40 For people to uh trade predictions, they need someone to trade against.
6:44 And nobody is going to put up money on a platform to trade
6:48 against someone else if there is nobody there in the first place.
6:51 Even the big established incumbents often struggle for liquidity across
6:54 the thousands of potential markets they host every single day.
6:57 So, the solution is a market maker.
7:00 In regular investment markets,
7:01 a market maker will offer to both sell and buy a given security
7:05 at a slightly offset price to make a little bit of money on the spread.
7:09 They are essentially scalping cash off regular investors,
7:11 but they are still seen as a welcome participant in the process
7:14 because it means if you ever want to buy or sell a stock,
7:17 you will almost always have a buyer
7:18 or a seller there to instantly buy or sell to.
7:21 In the most basic terms, they are the people that stand around in the Grand
7:25 Exchange all day flipping items for a small markup.
7:27 In real financial markets,
7:28 this job is a little bit more complicated because they
7:31 are not only offering bids and offers for regular stocks,
7:34 but also to a wide array of derivatives like
7:36 options and futures that can change very quickly and unpredictably.
7:40 Today, firms like Citadel Securities and Gain Street
7:42 derive a large portion of their revenue from marketmaking
7:45 and the significant rise in uh let's call it undisiplined
7:49 retail speculation has been one of their all-time biggest opportunities.
7:53 Highly risky financial instruments like zero data
7:56 expiry option contracts can generate huge returns.
7:58 But they also present enormous risk.
8:00 Making a market for these kinds
8:02 of financial derivatives has allowed the quantitative analysts
8:05 at these firms to systematically extract value
8:07 out of people who are effectively just gambling.
8:09 The more reckless their counterparty is,
8:11 the easier it is for their algorithms to create markets where if it's heads,
8:15 they win and if it's tails, they also win.
8:18 prediction markets take the reckless behavior
8:20 of these retail traders and completely get rid of the pretense that this is even
8:24 in any way something that could be considered investing.
8:27 Unsurprisingly, major hedge funds have jumped in to serve these markets.
8:32 In their extensive advertising,
8:33 companies like Khi and Poly Market would love to make you think that you are
8:37 betting against some other Joe Sixpack who just
8:39 happens to have a different opinion to you.
8:42 In reality and in the best case scenario,
8:44 you're betting against this guy or more often than not,
8:47 you're betting against, sorry, trading against someone with inside information.
8:51 Now, at the moment, these platforms are actually so desperate
8:55 to scale as quickly as possible that behind the scenes,
8:58 they are offering direct incentives to firms who can
9:00 provide them with liquidity in as many markets as possible.
9:02 Other prediction market facilitators like Crypto.com
9:05 have taken it one step further and set up internal marketmaking teams
9:09 to trade directly against their own customers, which might make you think,
9:12 hang on, doesn't that mean they have gone all
9:14 the way back around and become a bookmaker again?
9:16 The business's official answer to that question is, don't worry about it.
9:21 It's not great.
9:22 But it gets worse.
9:24 Around 5 years ago, you may have remembered
9:27 the controversy surrounding the practice of payment for order flow.
9:30 A firm like a big hedge fund would pay
9:32 a broker like Robin Hood a fee and in return
9:34 they would get to be the first in line
9:36 to facilitate any customer trades if and when they were made.
9:39 The same kind of process doesn't directly translate to these markets.
9:42 But the preferential treatment can and does.
9:45 All of these exchanges have back-end trading interfaces with a range
9:49 of features that are not available to regular users like broad market data,
9:52 low latency connectivity, bulk order management, drop copy, and IP whitelisting.
9:58 Naturally, these programs are only available to institutional partners,
10:01 although you are technically welcome to ask for access to them.
10:04 In regular investment market exchanges like
10:06 the NASDAQ and the New York Stock Exchange,
10:08 they have actually tried really hard to curb the advantages that big
10:11 hedge funds can gain through tricks
10:13 like highfrequency trading and darkpool market.
10:15 They have done this because if a market becomes too unfair,
10:18 then regular investors are not going to participate in it.
10:21 These prediction exchanges have gone the opposite way though and have basically
10:25 created a perfect playground for sophisticated
10:27 market makers to profit off regular traders.
10:29 Now you might be thinking, who cares?
10:32 Most people opening up culture or poly market
10:34 are happy to acknowledge what the regulators aren't.
10:37 This is just gambling.
10:38 Nobody goes into it actually expecting to make money, right?
10:42 Well, this should be true.
10:44 But the underhanded way that money is being extracted
10:47 out of these markets separate from firms themselves is going
10:50 to make them even harder to regulate and even
10:53 more lucrative to push onto as many customers as possible.
10:56 I hope in whatever way it can, this little video helps to expose the way
11:01 that this industry is really cashing in on desperate people.
11:04 Now, if you want to see how bad this could all
11:06 really get if we let it go on for long enough,
11:09 go and watch this video next to see
11:11 how Australia became the gambling capital of the world.
11:14 I want to end this video by saying thanks to all of you
11:16 for supporting my team and I this year by watching our videos.
11:19 We will see you in 2026 to keep on learning how money works.