If the election were held today, Trump would win with 313 to 343 electoral votes (as against 270 needed to win):
How did I get to that result? It’s a two-step calculation. The first step is relate electoral votes (EVs) to the two-party popular-vote split. The second step is to relate the two-party popular-vote (PV) split to the results of the most recent national polls. (I use polls with an average date that occurs in the last seven days.)
To estimate EVs as a function of the two-party PV split, I began with the results of the 2020 election. Trump got 232 EVs and Biden got 306 EVs, with a two-party vote split of 47.7 percent for Trump to 52.3 percent for Biden. I adjusted the distribution of EVs by State to reflect the redistribution of EVs following the census of 2020. That changed the EV split to Trump 235 and Biden 303, which I took as a starting point.
Suppose that the national PV split were to change from Trump 47.7 and Biden 52.3 to Trump 48.0 and Biden 52.0 as a result of proportional changes in every State (i.e., Trump’s PV share rises across the board by 0.3 percentage point and Biden’s PV share drops across the board by 0.3 percentage point). That would cause a few States to flip, specifically Arizona (11 EV) and Georgia (16 EV). The EV split would then become Trump 262 to Biden 276.
I ran cases of PV splits ranging from Trump 46-Biden 54 to Trump 55-Biden 45 in 0.5 percentage point increments. Those splits translate to PV margins ranging from -8 for Trump to +10 for Trump. At +6, for example, Trump would pick up Arizona (11), Colorado (10) Georgia (16), Maine (all 4 of its EVs vice 1 in 2020), Michigan (15), Minnesota (10), Nebraska (all 5 of its EVs vice 4 in 2020), Nevada (6), New Hampshire (4), New Mexico (5), Pennsylvania (19), and Virginia (13), and Wisconsin (10). The total gain of 123 EVs would bring Trump’s total to 358.
How do I relate the PV split to polling results? Polls, on average, are biased toward Biden. By how much? I return, once again, to 2020 and the national polls reported by RealClearPolitics (RCP). The final seven-day average had Biden leading Trump by 7.6 percentage points. Biden’s PV margin (including bogus votes) was 4.5 percentage points. So there was a bias of about 3 percentage points in favor of Biden in the polls reported by RCP.* This means, for example, that if Trump’s average 7-day lead is 2 points (which it is as of today), his lead in the PV split is actually 5 points after adjusting for bias (assuming that the pro-Biden bias is at least as great in 2024 as it was in 2020).
There are margins of error around the polling results; the margins of error define the upper and lower bounds of a 95-percent confidence interval around the average. I apply those margins to obtain a range for Trump (a 95-percent confidence interval around his average lead or deficit). As of today, that range is from a 0-point lead to a 4-point lead. The horizontal axis in the graph reflects the 3-point bias adjustment to that range. A tie in the polls — the lower bound of the confidence interval — would mean that Trump is really leading by 3 in the PV split (which would give him 313 EVs); a lead of 4 points in the polls — the upper bound of the confidence interval — would mean that Trump is really leading by 7 in the PV split (which would give him 343 EVs).
As of today, Nate Silver (paywalled) of 538 fame, has Trump ahead in Arizona, Georgia, Michigan, Nevada, Pennsylvania, and Wisconsin. The electoral votes of those States, plus the pickup of 1 EV from Nebraska, would bring Trump’s total to 313, which is the lower bound of my estimate.
Stay tuned.
* Yes, there are margins of error around each pollster’s results, but the best estimate was 7.6 percentage-point margin, on average, and the pollsters missed it by 3.1 points, on average. Another way to adjust Biden’s 2020 showing is to take the difference between his seven-day average margin for that year (7.6 points) and his current seven-day average margin (-1.8 points) and apply the difference (-9.4 points) to his final 2020 PV margin of 3.1 points, which yields an estimated PV margin of -6.3 for 2024 (as of today). But that would introduce a measure of optimism (for Trump) that I don’t want to inject into my estimates, so I’m using the bias estimate of 3.1 points (rounded to 3).