SineSwiper wrote:
The model was...wait for it:
HE AGGREGATED STATE POLLS!
So, yes, he had a "model" for Hurricane Sandy. It's called poll numbers AFTER Hurricane Sandy. They release poll numbers on a daily basis in various states.
The 10% chance just means that, like I said earlier, "barring some last minute boondoggle that crashes a campaign a day before election", Obama is going to win.
God, just admit that you were mistaken and be done with it.
I'd hope you're aware that he assigns different weights to different polls based on some measurement of their historical accuracy because you sure could not have come to the conclusion he did if you just averaged all the polls. And guess what this part is still guessing, no more than a guy running a basketball simulation believes you should assign a weight of 0.8 instead of 0.9 to this variable. None of these are anything beyond educated guesses because it's not like there's a physical law of basketball or election voting you can discover. I mean if you want to talk about hypothetical formula here's the one for PER that's widely used for baskeball:
uPER = (1 / MP) *
[ 3P
+ (2/3) * AST
+ (2 - factor * (team_AST / team_FG)) * FG
+ (FT *0.5 * (1 + (1 - (team_AST / team_FG)) + (2/3) * (team_AST / team_FG)))
- VOP * TOV
- VOP * DRB% * (FGA - FG)
- VOP * 0.44 * (0.44 + (0.56 * DRB%)) * (FTA - FT)
+ VOP * (1 - DRB%) * (TRB - ORB)
+ VOP * DRB% * ORB
+ VOP * STL
+ VOP * DRB% * BLK
- PF * ((lg_FT / lg_PF) - 0.44 * (lg_FTA / lg_PF) * VOP) ]
Most of the terms in the formula above should be clear, but let me define the less obvious ones:
factor = (2 / 3) - (0.5 * (lg_AST / lg_FG)) / (2 * (lg_FG / lg_FT))
VOP = lg_PTS / (lg_FGA - lg_ORB + lg_TOV + 0.44 * lg_FTA)
DRB% = (lg_TRB - lg_ORB) / lg_TRB
I'm sure if you look into Nate's model you'll find some kind of underlying equation that's similar to the one listed above since it'd be impossible to have a model without some kind of equation that calculates the outcome.
And you seem to be making the mistake that just because this formula has a lot of numbers and variables in it it's got to be scientific. For example assists in per is given a weight of 2/3. Why is an assist worth 2/3? It's not because the basketball God told you that this is the law of basketball. People came up with this value because it seems to capture the value of an assist but absolutely nobody can prove this value is correct. Whatever factors he used to account for how *good* a given poll is (because there's no way he gives them all equal weight, or he'd come to the same conclusion as anyone else) is still just a guess. Someone can easily go to the formula and change the scaling factor to 1 instead of 2/3 and there's nothing less scientific about that. You run the values again through this new formula and presumably one of those two value is better than the other in their predicative value. Further, all these weights are based on some kind of historical extrapolation and while history is useful it cannot predict everything. It is easy to see the NBA pass some rules that favors assists more than they do now and what would previously be correct scaling factor is no longer so. I believe one of the key difference this guy had was that he modeled who is likely to vote a lot different from the traditional models and it looked like he's right this time, because it turns out that voting behavior of Americans have changed significantly (minorities now count for far greater portion of the votes compared to other historical periods). This is behavior, not law. There isn't some law that tells you minorities now weight 0.7 instead of 0.6 compared to 20 years ago.
At best you can say the parameters he picked to model things like voter behavior are certainly very good, though he isn't the only statistical guy who got all 50 states right. Not to mention getting all 50 state right itself doesn't even validate or invalidate by itself. If there's a completely correct, all knowing model that says Obama has 51% chance to win Florida, you obviously should trust that over Nate's 'too close to call'. But if you picked Obama with a model that is all-knowing there's still a 49% chance you'd be wrong predicted by the model itself, and had Romney went on to win Florida it doesn't mean your all-knowing model was wrong, because that outcome had 49% chance of happening. By the way 90% chance of something happening is nowhere 'barring some miraculous whatever'. In XCOM if they tell your snapshot has a 90% chance to hit and then you miss you don't start questioning if the game lied to you because there's still a 10% chance to miss. Maybe if you missed every single time when it says you've 90% chance to hit you should question what's going on, but election is an event that's inherently unrepeatable. Had Romney won the election it wouldn't have invalidated the model because his chance of winning is small but nowhere at a point where you've to question the model itself. If Romney went on to win the election 10 times in a row then there's something wrong with the model but this event isn't even repeatable so it can't even be observed either.