Democratic (DFL) win the Senate race in Minnesota — Peggy Flanagan priced at 82.0% on Kalshi, down 4.0 points, on $1.2M traded

Minnesota contract falls but remains above 80%

Kalshi’s contract on a Democratic (DFL) victory in Minnesota’s Senate race, identified with Peggy Flanagan, was priced at 82.0%, down 4.0 probability points, with $1.2M traded, in the supplied market update published Oct 25, 2026 · 10:54 AM ET.

The decline leaves the Democratic outcome priced well above an even chance. It represents a reduction in the market’s implied probability, not evidence by itself of a change in the underlying election outlook.

No fresh catalyst identified

The accompanying news scan found no significant new platform headline in the preceding 30 minutes. Search results recirculated material already used that day or excluded from that scan, leaving the supplied reporting without a fresh explanation for the move.

According to predictionbubbles.net, its movers board compares prices over 24 hours and refreshes every 15 minutes using data from Polymarket and Kalshi. The supplied page records a venue-data snapshot of 25 Oct 2026, 14:42 UTC. Its rankings measure changes in probability points rather than relative percentages.

That methodology separates price movement from trading activity: volume provides context but does not determine a market’s position in the rankings. The supplied Minnesota headline reports $1.2M traded, but does not specify that figure’s measurement period or provide order-book depth, limiting conclusions about the liquidity behind the decline.

What it means for prediction markets

• Direction and level differ: The 4.0-point decline signals weaker pricing for the Democratic outcome, while the 82.0% level still places it substantially above an even chance.
• Attribution remains unresolved: The supplied news scan identifies no fresh headline explaining the repricing; it does not establish that no relevant development occurred.
• Volume is context, not a cause: The $1.2M traded figure alone cannot show whether new information, individual orders or other trading dynamics drove the move.