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Originally Posted by CodythePATRIOT
Yeah the most accurate model predicted a 30% chance for the eventual landslide (electorally) winner. Don't forget that this is also all with the benefit of perfect hindsight. There were plenty of other advanced models that didn't come nearly this close. This is not to mention that Silver's models bungled throughout the entire election with him giving hot takes such as Trump being 2% to win the election on sites like Reddit. This is not to mention all the missteps in the primaries, of which there were plenty.
Silver initially compared Trump to the next Michelle Bachmann, a flash in the pan who would make a splash early and then fade into irrelevancy. He made this error over and over throughout the election. I felt that his methodology was sufficiently bad that I actually contacted 538 to tell them they were misunderstanding the Trump phenomenon. This was all the way back in August of 2015, when Trump was still a huge underdog to even win the nom. He continued to make incorrect predictions throughout the election and then at the very end claimed this 29% midnight final to be his shining triumph.
This last election was no feather in the cap of predictive modeling.
It's not remotely a landslide, Clinton won the popular vote by 2m+ if you redistribute 100k or so of those votes to swing states she wins an electoral college landslide
Trump basically ran super hot to run the table on swing states, if you re run the election with the same raw vote totals having Clinton as a 70/30 fav isn't that unreasonable. It was just an election where a 30-70 underdog won. The predictive modelling 'favourite' isn't going to win all of the time under any forecasting model because turnout will be unexpectedly high or low some of the time (it was low in 2016 relative to expectations).
It's incredibly results oriented thinking to say that having Clinton as a 70/30 fav on the raw data available was bad. Even with her underperforming polling slightly AND turnout being lower than expected, she still won the popular vote by 2%ish only to lose the electoral college, which yes, is quite possible.
Again, anyone who thinks the 70% side should 'always win' doesn't understand that 70% certainty of an event means it should happen 7 in 10 times not 10 in 10 times. This was one of the 3 in 10 times the minority outcome occurred, a less extreme example probability wise of something like when Matt Serra knocked out Georges St Pierre or [insert huge sporting upset here]
Describing 2016 as a landslide when the candidate who lost the popular vote won the electoral college despite low turnout (when high turnout favours Ds and low turnout favours Rs) is just inaccurate
2020 is going to be a turnout based election. If the Democratic nominee turns out the base out they win, if they don't they lose. Simple. They start with a natural advantage of polarising opinions of Trump making it more likely people will vote for or against him than a random candidate, but that doesn't mean anything is a lock
Re political campaigns distorting markets to change the narrative it's def a possibility. News cycles change them too but a surge in a candidate on betting markets might cause a narrative change due to favourable coverage for only 5-6 figure outlay, could be worth it for some candidates
Right not Tulsi Gabbard is trading at 4% for D nomination she has a 0% chance of winning, so that's an auto fade. Literally the same chance as Harris, who granted is cratering in the polls everywhere because 'kamala is a cop/is not your friend' is pretty accurate but she at least has a greater than 0% chance at the nomination, Tulsi is literally drawing dead
Hillary's also at 10% for the D nomination which is an easy fade as she isn't running and even if she did she'd be a dog to get it
Last edited by SwoopAE; 10-23-2019 at 12:01 AM.