Show Me the Money!

In response to some recent posts against CAW, including from writers I respect and enjoy like Mutstack, I decided to write this article.

I spend my professional life analyzing information asymmetry in wagering markets. I build models. I track closing line value. I quantify edge, takeout, and the difference between theoretical advantage and money that actually clears the ledger at the end of the year. Which is why, when horse racing writers, commentators, and a growing chorus of self‑described “quants” spent the last few years insisting that Computer‑Assisted Wagering (CAW) groups are destroying the sport, I did what anyone who actually understands markets would do. I went looking for the proof. I couldn’t find it. Not win rates. Not ROI. Not rebate‑adjusted performance. Not a single rigorous, publicly available analysis demonstrating that CAW groups are extracting market‑beating returns at a scale that justifies the certainty with which these claims are made. Maybe I missed it, but what I found instead was a remarkably durable narrative — one that has survived hearings, opinion columns, conference panels, and regulatory discussions — without ever being required to produce receipts. That’s impressive. But it isn’t evidence.

That doesn’t mean the data doesn’t exist. It certainly does. But it is not distributed, not published, and not accessible to the very people being asked to accept the conclusion as settled.

Mutstack has positioned himself as one of the most vocal standard-bearers for this argument, writing as though the verdict is already in. That confidence does not come from published analysis or disclosed data; it comes from repetition, amplification, and the knowledge that saying something loudly enough, from a large enough platform, can substitute for actually proving it. Volume replaces verification, certainty replaces evidence, and the narrative hardens without ever being proven. Again, real data science should be the final arbitrator. Not writers against CAW and not players like me who think liquidity is key in parimutuel markets.

Obviously, tracks are not leading the charge against CAW. In practice, tracks are broadly supportive. CAW groups supply liquidity, stabilize pools, and generate handle — which is precisely why rebates exist in the first place. The opposition is coming from elsewhere: fans, writers, and pundits who are absolutely certain they understand what CAW groups must be doing, despite having no access to performance data and no published work demonstrating the outcomes they describe.

The CAW story, as it’s usually told, goes like this. Syndicates receive rebates retail players don’t. They have faster data, better execution, and the ability to place large wagers in the final seconds before post. This creates a two‑tier system where professionals exploit the pools while casual bettors subsidize them.

All of that is true, of course. To an extent. What the writers do not tell you is that huge rebate deals and good AI programming are available to anyone courageous enough to spend the money to wager. Quite frankly, as a citizen with no CAW affiliation, I know for a fact that I can get similar rebates to the mostly international CAW shops, and I absolutely know for a fact my analytical skills will be above theirs. So, tell me again why I should fear them?

Somewhere along the way, the argument quietly substituted advantage for outcome. The logic became: they have structural edges; therefore, they must be winning, therefore the system is unfair, therefore the sport is being harmed. That important step, the one where someone actually demonstrates how much money these groups are making, is absent.

If CAW groups were consistently earning 15–25% returns, this would be the easiest debate in racing history. You wouldn’t need outrage. You wouldn’t need anecdotes. You’d publish the actual numbers, other than your fears, point to the math, and move on. Markets don’t require moral arguments when the arithmetic is obvious. But no one has done that. Not the writers. Not the critics. Not the people claiming to have “modeled” the damage. After years of watching this play out, it’s difficult to believe that omission is accidental.

What’s especially telling is how differently the conversation sounds among people who actually wager meaningful money for a living. When I talk to serious independent horseplayers, the kind grinding six‑figure monthly handles with their own capital and models, CAW rarely comes up as the central problem. They don’t worry about the rebate disparity because they get rebates themselves. Of course they do. They don’t pretend the system is fair. But they also don’t see evidence that CAW groups are systematically crushing the pools they play in. What they describe is far less dramatic: late money that’s sometimes sharp, sometimes very wrong; just executed faster and at a lower effective takeout. In other words, normal horseracing.

One observation seems obvious: if CAW groups were truly dominating parimutuel pools, it would be in plain sight. These markets aren’t infinite. You don’t quietly extract double‑digit ROI at scale without leaving footprints. Which brings us to the data that would actually settle this debate. It exists. Tracks have it. ADWs have it. CAW groups certainly have it. And yes, it’s entirely possible that it isn’t public because it would reveal CAW profitability is stronger than critics expect, not weaker. The possibility also exists that the tracks who are not under any legal, moral or ethical mandate to distribute that information simply behave like most corporations, financial institutions, etc. and keep the data to themselves.

On the other hand, if writers and doomsayers are going to claim CAW groups are destroying racing, they don’t get to hide behind theory. They don’t get to point at unfair wagering speed, rebates, etc. and declare their side the winning one. They have to show outcomes. Show win rates versus odds. Show rebate‑adjusted ROI. Show that late money consistently outperforms probability. Show returns large enough to justify the certainty of the accusations. Until then, this isn’t an empirical debate. It’s storytelling. And now for the part that actually matters to people focused on winning. If the CAW advantage is mixed, modest, or inconsistent, and there is no public evidence proving otherwise, then CAW participation does not harm serious players. It adds liquidity and liquidity matters. In parimutuel markets, additional money doesn’t change the true probability of an outcome. It changes how efficiently that probability gets expressed in the odds. And that cuts both ways. When CAW money is right, prices tighten. When CAW money is wrong, it subsidizes everyone else - massively.

This is the uncomfortable truth many critics ignore. A large bettor being wrong in a parimutuel pool is not a threat; it’s a gift. It inflates payouts for players on the correct side. If CAW groups are not consistently and overwhelmingly correct, their presence improves opportunity for disciplined bettors who can identify mis-pricing.

From a strategic perspective, liquidity isn’t the enemy. Thin pools magnify randomness, restrict bet sizing, and punish correct opinions through volatility. Deep pools allow conviction, absorb variance, and pay you when you’re right. If CAW groups are providing depth without proven dominance, they are not destroying opportunity, they are creating it.

Markets don’t care about fairness. They care about information, price, and execution. If someone shows up with size and gets it wrong, that’s not a structural problem. That’s how edges get paid. So if CAW groups are not demonstrably dominating pools — and again, no one has really shown that they are — then their presence is not the existential threat they’re portrayed to be.

For players actually focused on winning, the priority isn’t who else is betting. It’s whether the market gives you enough depth, enough inefficiency, and enough opportunity to capitalize when others are wrong. Liquidity doesn’t eliminate edge. It reveals it. If CAW groups truly are the villain, prove it. Otherwise, maybe it’s time to stop arguing about who’s betting — and start fixing the economic model that makes winning so difficult for everyone involved.