F
The NYPD and its boosters do not really understand what makes a city safe from crime. They sincerely believe that *they* are the only thing keeping the city from the brink of chaos. They are incorrect about this.
That is not to say that they aren't important. They are, just not in the ways that they think.
My loudest and longest standing criticism of the NYPD is that they do not solve violent crime cases often enough and act like this isn't their fault.
The difference between Curtis Sliwa and other Republicans is bigger than many people think. NYC is a big project and to participate you must agree that having a place like NYC is a good idea. You need to like the idea of having this big city where everyone shares the value that it's good that we can all manage to live together.
New York is a place for everyone who thinks it's a good idea to have a place for everyone. (So not really everyone. There is no "paradox of tolerance")
@NatureMC @EricLawton @clarablackink @DoomsdaysCW @Dianora
Disney like many big companies, could hire some of the best artists and good artists deal in truth instinctively.
In the waning days of the campaign. Curtis Sliwa, the beret-wearing Republican and professional vigilante started muttering that he liked Zoran better than Cuomo.
This is exactly the kind of person who fills the police union and the "benevolent associations" a NYC republican, a "law and order" guy.
So maybe some can be charmed. Those who are too stubborn to be charmed need to be shut down.
These guys will work to ruin everything if left unattended.
2/2
One of the greatest challenges that will face Zoran Mamdani is working with the NYPD.
The mayor has a great deal of power over the police department however the NYPD is also influenced by non-governmental organizations in particular the police union and assorted service organizations. These are all deeply conservative and excited to make yet another left wing mayor miserable.
They all must be charmed and/or brought to heel.
There is one thing that gives me hope however.
1/
That's mean.
This has gone on for eighteen years!
HOW to teach #picaTheCat that she CAN'T sit on my lap until I'm done sitting down???
The lap doesn't exist until the human is sitting??
She tries to get on my lap *as* I'm trying to sit and it's just... it's chaos. And then she's upset and I'm in a bad position because she didn't let me fix my legs and now I can't move... this is a catastrophe.
I'm looking for hidden dinosaurs in this place.
They just like saying the word "battleship"
To learn how to do it "naturally" you'd need to learn an awful lot of integration tips and tricks.
I think of it as something that exists in the way that it is *because* it has to integrate to 1. So if you derive it so it's a distribution, you have kind of already integrated it.
(don't know if I explained that well. I'm just saying don't feel bad if it stumps you. It's artificial. )
The "fancy coffee table" (1/sqrt(2pi sigma^2)) helps things a little...
With things like this I like to use "ethics puzzles" I wrote a few and there are more in this thread.
It would be good to ask them to make their own puzzles for each other too.
I love the gaussian distribution so much but my students get so upset when they see the formula it makes me sad.
It's REALLY not that bad I promise. The stats people just want it to have an area under the curve equal to one. So they decorate it with all of this... stuff... It's useful.
But the essence of what it is? It's just e raised to the negative x squared. Noting to be upset about.
Consider also y=e^{x*x} that one looks like an over enthusiastic parabola.
So, when you take y=e^-{x*x} you get a nice hump, it looks almost like the normal curve already.
In fact, everything else is just about moving it around and making the mean and SD do what you'd expect.
Not bad at all. 2/2
Here's the thing about that formula for the gaussian distribution. It looks scary, right? Look at all those symbols! The first thing is to realize you are just looking at:
y=e^x but changed in a few ways.
Don't worry about the fraction at the front. (1/sqrt(2pi sigma^2)) That is just a constant.
Now y=e^x is the exponential. It increases faster the larger it is. It shoots up to the right and goes to zero to the left.
1/
gaussian distribution?? more like MOUSEian distribution
And they say "the internet is dead" Here is some entertainment. Highest quality.
I only made the first version of the page. I was shocked that this breed didn't have one and at first everyone thought I was making it up.
It now has much better sources.