<$1 TOTAL COST

On Episode 6 of World at Odds, I described what I think might be the closest thing to free money I've found on Polymarket. The strategy is almost embarrassingly simple: buy one share of every serious Democratic presidential nominee candidate. If the total cost is less than $1, you're guaranteed a profit when the market resolves.

That's it. That's the strategy. But the details — which candidates to include, how to weight the buys, and why this opportunity exists at all — are where it gets interesting.

The Baseball Analogy

Here's the simplest way to think about it. Imagine there were only three teams in Major League Baseball: the Yankees, the Red Sox, and the Cubs. You could bet on all three to win the World Series. If each one costs 30 cents, your total outlay is 90 cents. But the payout is $1 when one of them wins. You just made 10 cents risk-free.

That's exactly what's happening on the Democratic nomination market on Polymarket, except instead of three baseball teams there are dozens of candidates. The key insight is that when you add up the prices of all the serious contenders, the total comes in well under $1. As of recording, I'm seeing something like 60 cents total for a bundle — implying more than 40% ROI at resolution.

The core math

If you buy one share of every candidate who could realistically win the nomination, and the total cost is X cents, your guaranteed profit is (100 − X) cents per bundle. At 60 cents total, that's 40 cents profit per dollar resolved — a 67% return on capital deployed.

Why Does This Opportunity Exist?

The honest answer: I'm not entirely sure. On the show, I said I couldn't understand who was betting the other side. Consider a candidate like Gretchen Whitmer — a popular governor, widely discussed as a frontrunner — trading at around 1.3 cents. At that price, 14,000 shares are available. If she wins the nomination, each share resolves to $1. The person selling at 1.3 cents is collecting pennies against a dollar of downside.

Part of the explanation may be Polymarket's 4% reward rate on this market, which incentivizes liquidity providers to keep limit orders open. And part of it may be the newly announced taker fees (0.5–1.8%), which we discussed at the top of Episode 6. But even accounting for those factors, the spread between total cost and guaranteed payout seems too wide.

One of my working theories about prediction markets is that long shots are systematically undervalued the further out an event is from resolution. I've seen this pattern across NCAA basketball, the Masters, and now political markets. As an event gets closer, traders start paying attention and prices converge toward reality. Right now, with the Democratic primary still years away, the long tail is cheap.

The Candidate Filter: Removing the Noise

The Democratic nomination market on Polymarket has 27+ candidates listed. Many of them are absurd. You can bet on Barack Obama (constitutionally ineligible), Bernie Sanders (not running), and Hillary Clinton (not happening). Buying those would waste capital on outcomes that will resolve to zero.

So the first step is removal. On the show, my co-host Andrew and I went rapid-fire through the non-serious candidates. The removals included: Obama (ruled out by law), Bernie Sanders, Beto O'Rourke, Jasmine Crockett, Hillary Clinton, Liz Cheney, John Fetterman, Rahm Emanuel, Ro Khanna, and James Talarico. Andrew confirmed every single one without hesitation.

The most controversial removal was AOC. She's the most expensive long shot on the market, and Nate Silver's FiveThirtyEight team recently ranked her second or third. Their logic: Bernie Sanders is gone, she inherits the progressive lane, and without party elites intervening she'd have a real shot. We disagreed. Andrew's view was blunt — zero chance, nomination or presidency. My view: the Democratic Party has learned from recent losses that going more extreme to match Trump is a losing strategy, and they'll nominate a candidate they think can actually win the general election.

Weighting the Buys

Here's where the strategy goes from guaranteed profit to potentially massive profit. You don't have to buy equal shares of every candidate. If you weight your purchases toward the candidates you think are most likely to win, you can turn a 40% return into a 300% return — while still maintaining a floor of breaking even or making a small profit on the rest of the field.

My weighting leans heavily toward three candidates:

Gretchen Whitmer — A popular sitting governor. At 1.3 cents per share, the risk/reward is extraordinary. If she wins, I stand to profit around $130,000 on my current position. If Democrats want to win the general, nominating a popular governor from a swing state is the strategic play.

Josh Shapiro — Another popular governor, this time from Pennsylvania. Andrew flagged a concern that his candidacy could become dominated by questions about anti-Semitism and Israel, given that his home was firebombed. A legitimate concern, but the price accounts for that risk.

Gavin Newsom — Well-positioned but expensive. He's a polished, well-funded candidate, and Andrew's concern that a slick California politician doesn't play well nationally is reasonable. I've placed him in the middle tier — not a break-even position, but not my biggest bet either.

Kamala Harris — Leading in early polls at around 4–5 cents. I'm covering her because the math demands it, but I don't think Democrats can nominate a two-time loser. If she were at 20 cents, I'd be selling. At 4 cents, I'm buying as insurance.

Andrew's pick was Mark Kelly — the intersection of a candidate he's personally excited about and one he thinks is strategically viable. An astronaut, a veteran, from a swing state. The knock against him, even from Andrew, is charisma.

The Uncomfortable Theory

On the show, Andrew raised a point that's worth putting on paper: after the last two presidential elections, a significant number of Democrats have concluded that America won't elect a woman president. Whether that's true or not, the belief may influence primary voters to choose a male candidate they see as more electable. This could work against Whitmer and Harris in the primary even if they'd be strong general election candidates.

My counterargument: I've said for a long time that I think the first female president will be a Republican. The base consolidation dynamics work differently. But that's a theory for another episode.

What Could Go Wrong

This isn't truly risk-free. There are a few scenarios that could eat into the return:

Capital lockup. The Democratic primary won't resolve for years. Your money is tied up earning 40%+ total, but on an annualized basis that might look less impressive depending on your timeline. I've been weighing this against holding Bitcoin, which is part of why I haven't deployed even more capital.

A candidate you didn't buy wins. If someone emerges from outside your filtered field — a dark horse nobody saw coming — your bundle resolves to zero. This is why the filter matters so much, and why you should err on the side of including borderline candidates rather than excluding them.

Polymarket risk. Platform risk is real. Regulatory changes, smart contract issues, or the market not resolving as expected are all non-zero possibilities. This is an evolving legal landscape.

Not financial advice

This is a strategy breakdown from a podcast. We're sharing our thinking, not telling you what to do with your money. Prediction markets carry real risk, and past performance doesn't guarantee future results. Do your own research.

Using AI to Manage the Portfolio

On the show I mentioned that I've been using Claude to build financial dashboards for this strategy. The dashboard tracks every candidate's current price, my position size, what I stand to profit or lose on each outcome, and the total portfolio ROI. It's not complicated to build — the core logic is just adding up cents and comparing against $1 — but having it automated means I can spot opportunities faster and rebalance when prices shift.

If you're interested in building something similar, you don't need to write code. Describe what you want to an AI assistant and it'll build it. As I said on the show: just see what you're going to buy, add up the cents, and that's it.

What's Next

We're going to track this strategy on the podcast over the coming months. As candidates announce, as polls shift, and as the market starts pricing in real information instead of noise, the arbitrage window will narrow. The question is whether we can capture the spread before it closes — and whether the weighting bets pay off on top of the guaranteed floor.

We're also applying a similar approach to the Masters golf tournament and potentially the 2026 World Cup. The same principle applies: if you can buy a basket of outcomes for less than $1 total, you've found an edge. The episode goes deeper into both of those strategies.

Hear the full breakdown on Episode 6 — including Polymarket's new fee structure, our rapid-fire candidate assessment, Masters picks, and the SpaceX ticker bet.

Keep reading

I Finally Lost a Bet (Sort Of) — My first loss on the podcast. The Arizona March Madness exit strategy breakdown.
How I Made $2,900 on the Texas Primary — Step-by-step Polymarket trade breakdown across 3 legs.
Prediction Markets Explained — The complete beginner's guide to prediction market trading.
Is Polymarket Legal? — Everything you need to know about the legal status of prediction markets.

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