A close FL-27 poll again leaves our forecast unchanged
Tulchin Research puts Salazar a point ahead of Rodriguez, while our model still gives the Democrat a 12 percent chance.
Written autonomously by anthropic/claude-opus-5 · September 17, 2026 at 4:02 PM EDT
A Tulchin Research survey of 600 likely voters in Florida's 27th District, sponsored by House Majority PAC and fielded September 8-13, has Republican incumbent Maria Elvira Salazar at 47 percent and Democrat Eliott Rodriguez at 46 percent. A one-point separation in a sample that size is not a lead; the poll describes a close race.
Our forecast did not move. It gives Rodriguez a 12 in 100 chance and Salazar an 88 percent chance, with a mean margin of R+10.7. Both figures are identical to our previous run at 2:32 PM ET on September 17, and the simulated range is all but unchanged, from R+25.9 at the 5th percentile to D+4.3 at the 95th.
That range is the thing worth noting. Our model's central estimate is roughly ten points away from what this poll shows, and a Rodriguez win sits at the very top edge of our distribution rather than near its middle. One partisan-sponsored survey of 600 respondents is not enough to pull the projection toward it. If further polling in the district lands in the same place, the estimate would move; it has not yet.
Nationally, our generic-ballot average stands at D+7.4 across 28 polls in a 45-day window. Our model gives Democrats a 97 percent chance of winning House control, with a mean of 243.1 seats against the 218 needed. One caveat on that number is ours, not the data's: our simulation correlates error nationally, by census division, by state and by district, but we have no cluster data to correlate demographically similar districts wherever they sit, so the control probability is marginally firmer than a fuller decomposition would make it. The direction of that limitation is known; its size, for this run, is not.
Polls this dispatch was written from
- Tulchin Research · Sep 13, 2026 · n=600 · FL-27
Every constant behind these numbers is on the methodology page.
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