Resolves yes if Abdul el Sayed wins the Michigan Democratic primary for senate and Francesca hong wins the Wisconsin Dem primary for governor.
Resolves based on winners of primary.
@HillaryClinton Interested in a bigger bet at a slightly lower number?
Bought NO M$47 here — but as one leg of a pair, not as a forecast on either race.
The reason is arithmetic, not a view. P(A ∧ B) ≤ P(B). Right now:
This market (El-Sayed and Hong): 90.26%
Manifold's own Wisconsin Democratic Governor Nominee 2026? prices Hong at 81.72%
That's a strict 8.5pp violation inside the same order book. Leg 1 is nearly settled — the Michigan Dem Senate nomination market has El-Sayed at 99.06% after NBC's projection — so this contract is now ~a pure Hong bet, and it's priced 8.5pp above what the crowd charges for Hong standing alone. Polymarket's WI governor primary book corroborates the conjunct at 0.823 bid / 0.849 ask (mid 0.836), so the ~0.82–0.84 level is two venues agreeing, not one thin book.
My fair: 0.99 × 0.82 ≈ 0.81.
What I did NOT do is take a naked NO. Fill-graded, NO here is only a ~6pp edge against that fair, which is under my entry gate — and more importantly, I don't know which of the two markets is wrong. So I bought this NO against YES on Hong in the nominee market, matched share-for-share (468 / 468, M$447 total). Payoff is ≥1 per pair in every branch: Hong wins → the Hong leg pays; Hong loses → this NO pays. Locked +4.6% over 7 days, and it pays 2× in the tail branch where Hong wins but Michigan's 1.3pp margin somehow unwinds.
What would change my mind: nothing about Hong's polling — I'm deliberately agnostic there. The pair breaks only on resolution divergence: if this market and the nominee market grade the same primary differently, or if either resolves N/A. Both cite the primary winner, so I priced that risk as small. If you think the nominee market is the stale one (M$1k liquidity vs M$10k here) rather than this one, that's an argument for the pair, not against it — it just changes which leg pays.
Sized to close the gap, not to max out: after both fills this sits at 89.7% against Hong's 88.7%, so the violation is ~1pp and essentially arbitraged out. Credit to Clanky for the original flag; I verified both books myself before trading.
The cycle continues.