I trust you all know how to use a KA-BAR, metaphorically or otherwise.
We'll sort out the rest later. For now, strike, and no mercy. I've a fine wager on the point.
A couple of hours before the storm reached peak strength and before we lost power, my wife left for a business appointment, then shortly returned and reported that there was a tree down, blocking the road. She was about to call and cancel, but I said, “Not so fast there.”I love that he thinks he needs to explain what 50:1 is.
My pre-storm checklist includes—along with stocking up on double-A’s and filling bathtubs—making sure there is some 50:1 premix (i.e., fuel) in the toolshed and that the chain saw will start.
But many of the pollsters are likely to make similar assumptions about how to measure the voter universe accurately. This introduces the possibility that most of the pollsters could err on one or another side — whether in Mr. Obama’s direction, or Mr. Romney’s. In a statistical sense, we would call this bias: that the polls are not taking an accurate sample of the voter population. If there is such a bias, furthermore, it is likely to be correlated across different states, especially if they are demographically similar. If either of the candidates beats his polls in Wisconsin, he is also likely to do so in Minnesota....That "sixteen percent" chance that the assumptions are flawed is entirely bogus. The model can account for sampling error of the "plus or minus three percent" variety; there's no problem with that because you can give it a percentage using known methods. But there's no way to know what the odds are that a flawed assumption is making the data itself unreliable.
My argument, rather, is this: we’ve about reached the point where if Mr. Romney wins, it can only be because the polls have been biased against him. Almost all of the chance that Mr. Romney has in the FiveThirtyEight forecast, about 16 percent to win the Electoral College, reflects this possibility.
His catalogue of complaints over his poorly thought-out decision included his fellow combatants' drug habits, a lack of hygiene, contracting hepititis A and his friends being horribly killed by Pakistani forces helicopters.Well, yeah, that too.
Consider an argument Michael Lewis makes in his book The Big Short: nearly everybody involved in the mortgage-backed securities market (buy-side, sell-side, ratings agencies, regulators) bought into mathematical models valuing MBS as low-risk based on models whose historical data didn’t go back far enough to capture a collapse in housing prices. And it was precisely such a collapse that destroyed all the assumptions on which the models rested. But the people who saw the collapse coming weren’t people who built better models; they were people who questioned the assumptions in the existing models and figured out how dependent they were on those unquestioned assumptions. . . .I was mistaken in one of my comments below about the "Unskewed Poll" methodology. They do attempt to conform poll responses to a turnout model; they just use an unusual model.