#polling aggregators

Basically, Republicans are ratfucking the polling averages by churning out huge numbers of partisan polls, and the polling aggregators/analysts like 538 aren't doing due diligence to compensate for it.

Now, what is the purpose of this?

Well, in the immediate-term, it creates a narrative that Trump is winning, boosting morale of his supporters while demoralizing support for Democrats and Harris.

Beyond that, if polling averages show that Trump is winning ahead of election day-which we can pretty much guarantee they will, because see above-then they will use that as "proof" of fraud if Democrats subsequently win.

Basically, they are engineering a pretext for their next coup attempt in front of us.

You may not have noticed, but tons of right-wing polls have come out in the last month or so, way more of them, in fact, than non-ideological polls, and they've got Trump performing significantly better than non-right-wing polls, Harris leads by about 1.7% in the average of non-ideological polls while Trump leads by 1% in the right-wing polls. We've actually seen this before, in 2022 when a huge raft of right-wing polls came out in October, just before the election, and showed GOP Senate and House candidates doing much better than other polling and, in fact, much better than they actually did when the votes were counted.

Now, poll aggregators like FiveThirtyEight will tell you that they're able to weight for the kind of thing and that it doesn't make a huge deal in their models, but that really depends on what you consider a "huge deal". FiveThirtyEight, for example, calculates that the right-wing polls shift their average by between 0.1% and 0.8%, almost entirely toward Republicans and, look, I get it, from a data perspective, you'd always rather have more data than less. Even if it's bad data, weighting and adjusting can allow you to still get some reasonable value out of it. From a statistical analysis perspective that's pretty much negligible, but most people reading these polling aggregators, even other journalists, aren't all that educated in statistical analysis.

Still, we have to acknowledge what it does at the most basic level. That 0.8% shift was in Pennsylvania where 538 currently has Trump ahead by 0.3%. In other words, without the flood of right-wing polls, they would instead have Harris ahead by 0.5%. And look, again, I get it, from a statistical point of view, both of those results are toss-ups, well within the margin of error, and you can't make any solid conclusions about the state of the race from either of those results except that we don't know who's going to win. But look at the media coverage.

Even reputable news outlets are writing stories about Trump being ahead in the swing states and right-wing news media is all but crowing it from the rooftops. Whether they like it or not, poll aggregators are now driving news coverage that completely ignores what their results actually mean.

The long-story-short here is that it appears likely that polling averages are being manipulated by a flood of right-wing polls that look far better for Trump than non-ideological polls do. Whether this is to drive favorable news coverage or to provide an excuse to later challenge unfavorable election results is unclear, but what is clear is that this isn't just data that's bad because someone did some shoddy work, it's deliberately bad and it's designed to throw off the aggregate data.

If that's not a good enough reason to question whether it should be part of the aggregate data and to question the results of aggregate data that includes it, I don't know what is.