Patrick Bet-David’s panel didn’t do a full results recap. They went straight to ranking who actually won and lost—and why. [VIDEO]
The clear losers, in their telling: Elon Musk, Joe Rogan, and Trump’s endorsements.
Musk spent heavily (reports put his total GOP-related outlays near or over $400 million, with a massive chunk on Ken Paxton in Texas). Paxton lost decisively to Democrat James Talarico, who flipped a Senate seat Democrats hadn’t held since 1988. The panel treated it as proof that even unprecedented cash has limits when the candidate is flawed and voters have other priorities. Rogan got grouped in for the same reason: the manosphere/influencer energy that mattered in 2024 didn’t hold young men or low-propensity voters well enough this time. Trump’s endorsements produced a string of losses as Democrats gained ground in both chambers.
On the winner side, the panel zeroed in on Muslim candidates—most notably Abdul El-Sayed’s win in Michigan, making him the first Muslim U.S. senator. They framed it as more than a single race: a signal about shifting coalitions and who shapes the future. Ron DeSantis came off as a relative survivor (his 2028 positioning strengthened even as he warned of GOP problems). Prediction markets like Kalshi also got credit for calling key outcomes and drawing heavy volume.
The through-line was simple: traditional power levers—mega-donor cash, celebrity endorsements, pure brand—underperformed relative to candidate quality, affordability concerns, and other forces. The segment was less a neutral scoreboard and more an argument that money’s influence has clear limits.
That’s the panel’s take. Not a full recap—just who they think walked away stronger, and why.
Want the broader context?
The clip above is a short excerpt. The full episode digs into JD Vance and Ron DeSantis’s reactions to the GOP’s midterm losses, Trump’s Election Day announcement on ending nearly $4 billion in annual U.S. military aid to Israel, exit polls, and more of the panel’s back-and-forth on what the results actually mean.
Full podcast: [VIDEO]
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