Bob

The technology can detect gunshots, yes, but it can't detect it they're meaningful in any way that would require a response. That means responders are showing up to areas with nothing more than the knowledge that a gun was discharged, which leaves them fewer resources to allocate to actual problems.

The technology can detect gunshots, yes, but it can't detect it they're meaningful in any way that would require a response. That means responders are showing up to areas with nothing more than the knowledge that a gun was discharged, which leaves them fewer resources to allocate to actual problems.

I ain't paying any attention to speculation. He hasn't dropped out until he's actually dropped out.

Ohhhh Shhhhoiiiit this is a step in the right direction!

No one would ever try to drive through a large group of cars going past, why force your way into bikes?

I think the amazing thing is how much improvement you get from going from "choose one" to "choose all you like." (AKA approval voting). The ultimate goal is proportional representation, but approval is such an easy first step.

Probably the first time I've ever looked at a presidential lineup and simply hoped the two front-runners fall over dead as soon as possible.

They're finally getting rid of these guys because they're old and no one wants to take care of them. That's all.

They don't want to help, they want to rule. The emergency gives them an excuse to take control.

I mean, yeah, 1000 people is enough assuming there's no sampling bias. But if you've got sampling bias, increasing the sampling size won't actually help you. The issue you're talking about is unrelated to how many people you talk to.

Your own suggestion of splitting up the respondents by state would itself introduce sampling bias, way over sampling low population states and way under sampling high population states. The survey was interested in the opinions of the nation as a whole, so arbitrary binning by states would be a big mistake. You want your sampling procedure to have equal change of returning a response from any random person in the nation. With a sample size of 1000, you're not going to have much random-induced bias for one location or another, aside from population density, which is fine because the survey is about USA people and not people in sub-USA locations.

Ah. I personally wouldn't care, then. In fact, I would be honored in this situation l. But, I'm sure there are those that would feel differently.

A degree should have no sensitivity towards anything outside of the classroom. Did you pass all the classes you needed to? You get your degree. Full stop.