It’s clickbait. They do this because it brings in more income. I don’t resent them for it. Flying what they can to make sure more people watch it seems fair to me v

Okay off topic but I had to Google “gubernatorial”. That word looks made up.

Honestly surprising. I would’ve thought Harris would have wanted protection from Trump constantly talking over her.

To be honest I just look at the state of the world and laugh like I’m watching a sad comedy.

And I avoid thinking about how I’m in it and I have basically zero power over it.

I vote for whomever is the least bad candidate and try not to think about it too much the rest of the time.

Blacklist-based ad blocking.

I don’t mind ads when they’re reasonable. If it helps fund your website at all, advertise away. But when there’s a sticky banner plus an autoplay video ad reducing my mobile viewport to a ridiculous degree, and the X buttons are too small to click and ad loading completely breaks the search bar until it’s done (hi fandom wiki) I want to be able to say “fuck these ads in particular”

Oh that wasn’t what I meant. Independently of where this specific poll lies, it’s just that any single poll is just a limited dataset.

I was just recommending using broader analyses as a potentially more accurate election result predictor.

It’s just one poll. There’s a possibility that pollster’s methods have some sort of bias, or that there happened to be an error in sampling as there’s always a possibility there will be.

There are statistical models that take in various polls, remembering and taking into account the kinds of mistakes each given pollster tends to make, and calculates the chances of each candidate. That would be a (probably) more accurate look at Harris’s chances.

The only one I know is Qc125/338Canada. It was developed mostly in Quebec and then fine-tuned for other Canadian races, before finally being applied to a few other countries, including the US. That history might make it weaker at predicting the outcome of an American race compared to a home-grown model, though; I don’t really know.