Newsmax host says polls showing Kamala Harris in the lead are “almost like election meddling”
Rob Schmitt: “I think that when you put a poll out there that makes it look like Kamala is doing well, it creates the idea in a lot of people's minds that aren't intelligent enough to think for themselves”
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From the August 21, 2024, edition of Newsmax's Rob Schmitt Tonight
JIM MCLAUGHLIN (GUEST): Yeah, no. It's like, you look at these polls and a lot of times they expose themselves, because some of these polls, they're not transparent. They're not giving you the number of Republicans, the number of Biden voters, Trump voters from back in the 2020 election. I'll give you a good example, too is the Siena poll -- New York Times poll -- to their credit, they actually looked at, you know, by party. They looked at it by how they voted for president back in 2020. And one of the things they did was in the three big battleground states of Pennsylvania, Wisconsin, and Michigan, they under-sampled Trump voters from anywhere from six to nine points. And that's what they continuously do. But they do expose themselves when you look at the internals, because many times you're seeing in these polls, Donald Trump is doing very well with Hispanics. He's getting -- he's doubling his percentage among Black voters. And that's how you know that Donald Trump is the one that really has the momentum in this race.
ROB SCHMITT (HOST): Yeah, it's -- to me it's -- you know, and Robert, maybe you can speak to this. I mean, they sometimes -- I've heard them say suppression polls, but I mean, I think that when you put a poll out there that makes it look like Kamala is doing well, it creates the idea in a lot of people's minds that aren't intelligent enough to think for themselves that, oh, she must be better than I think she is. Or is she -- obviously, people obviously like her, so I should like her too. I mean, this kind of polling, in my opinion, is dangerous and it's almost like election meddling in a way to put a poll out there like that and have it this skewed.