Polling guru Nate Silver has upgraded Democrats’ chances of winning control of the U.S. Senate in November’s midterm elections, with his forecast now giving the party a 75 percent probability of victory.

Silver’s FLIPR 2026 midterm election forecast, published by Silver Bulletin, previously classified Democrats’ chances as “Lean D” as their prospects of retaking the chamber improved. The forecast has now moved into the “Likely D” category, marking a further shift in the model’s outlook.

Silver’s model uses polling data and other indicators to estimate the likelihood of different election outcomes. Its probabilities are estimates rather than guarantees, and the outlook can change as new polling and other information become available, but the latest upgrade suggests the model increasingly favors Democrats in the battle for the chamber.

    • HazardousBanjo@lemmy.world
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      9 hours ago

      If it helps, in 2018, Dems had a major victory, and in 2022 the supposed Red Wave was far more of a Red Splash.

      Today, the cult is far smaller. Partly due to the price of everything going up, partly because Trump’s core demographic have been meeting their life expectancy. The latter especially sooner as they’ve become so anti-medicine.

      You can help tip the scales by voting Dem.

    • SippyCup@lemmy.world
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      10 hours ago

      I remember reading the night before the election an article he posted about that. How the odds were similar to that of a game of Russian roulette. Sure, 5 in 6 chance there’s no bullet in the chamber. But 1 in 6 that there is.

    • CharlesDarwin@lemmy.world
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      17 hours ago

      This. He got put on a pedestal there and I think he’d have to do a lot to earn trust again after that colossal fuck-up.

      Of course, it’s always possible it was not even close to his fault, and the election was just outright stolen.

    • AbouBenAdhem@lemmy.world
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      1 day ago

      I have issues with Silver too, but to be fair, an 80% likelihood should be wrong one time in five. If it always predicted the winner, the 80% figure would be inaccurate.

      I think people confuse predicted chance of winning with predicted poll results, where 82% would indeed predict an unstoppable landslide.

      • Zedstrian@sopuli.xyz
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        1 day ago

        It should be more accurate when predicting the aggregate outcome of multiple races instead of one (assuming weak correlation).

        Due to the Electoral College, predicting the outcome of a Presidential election is effectively predicting the aggregate outcome of multiple state races.

        • Hapankaali@lemmy.world
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          1 day ago

          The Electoral College and the popular vote are very strongly correlated. The EC only ever comes into play when the election is very close in terms of popular vote, and then polls can’t give a (near) certain answer anyway.

          In fact, US elections are much easier to predict using polling than elections in most other places, because a) the US electorate has extremely high voter loyalty compared to typical values elsewhere, especially in functional democracies and b) there is a lot of high-quality polling data available.

          • granch_bibblyfibble@piefed.social
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            1 hour ago

            Hillary Clinton beats Donald Trump by more than 2% of the popular vote, which I would say is not “very close” in this context. So I’m not sure I agree with your premise.

    • yesman@lemmy.world
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      1 day ago

      Trump’s odds of winning were 19%, similar to the 16% chance of the bad outcome in Russian roulette. I notice people interpret statistics more on the situation than the numbers.

    • jtrek@startrek.website
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      1 day ago

      I’ve played a lot of games with random factors. Sometimes you miss that 99% shot three times in a row. People kind of assume anything above 80% is 100%, which is silly.

    • 🌞 Alexander Daychilde 🌞@lemmy.world
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      1 day ago

      You really should learn how statistics work. It’s a common problem. And not all of it is easy. But let’s round that down to 80% to make the numbers easier to understand: It means that if there are five universes where that election took place, four of them should go for Clinton and one should go for Trump. On average. Really, it’s more like if there were 5000 universes, not 5.

      But assuming the prediction was correct - that’s still 20% of the time - one time out of five - that it was predicted to go how it went.

      That is not shocking or odd or wrong at all.

      • CoconutLove@lemmy.today
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        1 day ago

        Nate said Kamala Harris was 50-50 with Donald Trump in 2024. In reality, Trump won every swing state. It wasn’t neck and neck.

        • 🌞 Alexander Daychilde 🌞@lemmy.world
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          21 hours ago

          And that again misunderstands statistics going on here.

          The prediction was who won, not by how much they won. In fact, his prediction was that it was a 60% chance that one or the other of them would win six out of the seven close races.

          This stuff IS difficult to understand. Some of it is pretty intuitive, and some of it really is not.

          edit: Fucking go LEARN before you fucking downvote. I am correct. So feel free to try and prove me wrong. But if you’re just going to downvote, fuck you and fuck off. Stop being willfully ignorant. Jesus christ.

            • SippyCup@lemmy.world
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              9 hours ago

              That is not how statistics works.

              You’re thinking of statistical prediction as divination. That an 80% chance of something happening means it’s going to happen.

              Statistical predictions are a combination of two statements.

              1. There is an X% chance of event A occurring

              AND

              1. There is a Y% chance of event B occurring.

              In order to be accurate, event B must occur Y% of the time, event A X%. There may be dozens of ways either even can unfold, but the ultimate outcome should fall in to one of those two possibilities, roughly as often as predicted.

              I’m hot being hyperbolic when I say this, saying “60% of the time it works every time” is literally a more accurate way of looking at it than what you’re saying.

            • 🌞 Alexander Daychilde 🌞@lemmy.world
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              21 hours ago

              Incorrect. You can fucking look this stuff up and learn instead of being aggressively ignorant.

              Analogy: Flipping a single coin has a 50% chance of “winning”. Flip one coin, however, and ONE HUNDRED PERCENT of ALL COINS FLIPPED are HEADS (or TAILS), and yet it was a 50% chance of winning.

              Please. Please go fucking learn how this works, or just accept that it is the case. Google it. Talk to an LLM if you want - they are great at explaining this sort of thing. Do something. Please don’t continue to make ignorant replies.

              • sem@lemmy.blahaj.zone
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                19 hours ago

                Don’t talk to an LLM, it will end up telling you what you want to hear.

                Do actual research