The strangest thing about buying a rare car is the dealership knew nothing about it, the salespeople didn’t either — and the funniest part: I was talking to a person who actually works with all this makers’ cars and she’d also never heard of it.
To understand why, this car maker typically sells in six days one of their more popular models what the one I bought sells in an entire year. (Actually more like 5.75 days.)
It’s just a little weird dealing with the manufacturer of the car and they are like, “Never heard of it.”
And I’m like, “You made the damn car! How can you not have heard of it!”
But it’s never been advertised, was really manufactured to appease a very small market and to be able to run it in NASCAR, so it’s just not out there like most cars.
I have really broad experience in IT compared to most IT folks, and wider knowledge than most because of that and due to the certs I’ve pursued over the years.
Sometimes funny things happen related to that.
The other day at work someone was explaining to me how to configure a virtual networking device that allows for client-access VPNs (if you don’t know what that is, don’t worry about it).
They assumed since I was not on the networking team and have never been associated with that team that I had no idea about any of this.
But here’s the funny part.
“Yeah, I know, I wrote the installation guide for this appliance,” I say.
Because I did write the installation guide. A couple of years ago no one else knew enough about the very disparate things that need to be done to make this appliance work, so it fell to me to put it all in one place.
The person speaking to me meant no harm and just wasn’t aware, but I do think it’s amusing when someone explains to you how to do something you literally wrote the company-wide guide on how to make it work.
I’ve set a new record: the longest I’ve ever had a new car without someone intentionally damaging it or something — like a rock flung from the road — accidentally damaging it.
A new car alas is an envy magnet. People enjoy harming them.
This one though is very nondescript (at least until you rev the engine) so it doesn’t attract much attention. Almost certainly why someone hasn’t pulled up alongside in a parking lot and slammed their door into it repeatedly, etc.
Oh, it’ll get damaged eventually. It’s a machine in the world. But my previous record for a new-to-me car not being damaged is two days. Now I’ve gone 12.
Obama wasn’t the worst president ever (that dubious honor might yet go to Trump) but he wasn’t the walking-on-water savior that the left imagines him to be.
I know the pseudo-left will despise me for saying this, and I’ll be branded as racist and horrible, but if Obama hadn’t been black I suspect progressives would have been more able to clearly see how objectively harmful were his policies and his “negotiating” style of giving it all away in the beginning and hoping for crumbs tossed afterward.
I’ve linked to this article before, but it is very good so here it is again.
What many more quantitative-oriented people miss (sometimes in the most comical fashion) is that just because you’ve used calculus to solve some self-posed problem or tossed some statistics at something, if you have poor data, ridiculous assumptions, have misunderstood the problem or otherwise engaged in some other fundamental cock-up, you have learned less than nothing.
Because you have wasted time and increased the entropy of the universe, you are now actually behind where you were when you started.
In the case of economics, its history since the 1930s has been to focus on making the real world conform to increasingly-complex models rather than assaying that world as it is.
This happens in many fields, but by far eonomics has been the most detrimental to the world — more destructive than many wars.
The illusion of veracity can be achieved by mathing something up. Making a field opaque with unnecessary intellectual hurdles is a great way for practitioners to exclude others who might question their conclusions (“You can’t understand transfinite extension of the mu-calculus, therefore your opinion on why the rich shouldn’t be allowed to own you is invalid!”).
Stating an equation doesn’t magically transubstantiate questionable assumptions to verity; running regression analysis on a data corpus doesn’t reveal anything when your input is garbage.