Thought you might like this one: A Geometric Analysis of Five Moral Principles (OUP 2017)
Ethics using vectors or from a description of the technique: The geometric approach derives its normative force from the Aristotelian dictum that we should “treat like cases alike.” The more similar a pair of cases are, the more reason do we have to treat the cases alike. These similarity relations can be analyzed and represented geometrically. In such a geometric representation, the distance in moral space between cases reflects their degree of similarity. The more similar a pair of cases are from a moral point of view, the shorter is the distance between them.
right, but doesnt the alledged spill over effect of increasing the price on the unregulated exchange, impact the price regardless of exchange?
You don't ask for btc price X on coinbase versus btc price Y on biance? Wouldn't you just care about the price of btc? and if it rises on certain exchanges, then it would arbitrage until it rose on other exchanges as well?
My childhood experiment actually comes in handy! I can confirm at the least that planting half of the same batch of seeds close to a road's (the tarmac's) edge next to it, and in a forest, my grass seeds grew much worse next to the road.
Also I was told to never eat berries growing from a bush close to a road since they are more dirty.
and maybe a follow up question (to measure the false negatives)
Do you check the applicants who were denied based on their test and see where they ended up working at. E.g. you are a mid tier start up who rejects someone who ends up working at amazon as a high level engineer – do you mark that a failure?
Let’s think about this for a second, if I apply to be a mid-level engineer at Billy Bob’s software development firm, but I’m capable of getting a job as a senior engineer at Amazon. Odds are I’d only stay at Billy Bob’s software up until I’m able to get my Amazon job, considering on boarding a software engineer can easily take six months, that means you only get six months or so of actual work out of this person. If that, they might just work at Billy Bob’s for three months until they get their FAANG offer and then just leave Billy Bob’s off the résumé
I'd be careful to call that out as a negative; if the culture fit wasn't right, and the candidate would have been a net negative to the team, it shouldn't matter where they end up next, unless (of course) the candidate that was actually hired ends up being an even worse fit (ergo the need to fix your hiring process).
> I'd be careful to call that out as a negative; if the culture fit wasn't right, and the candidate would have been a net negative to the team, it shouldn't matter where they end up next
I'd be careful to presume you can know these things from an interview.
> unless (of course) the candidate that was actually hired ends up being an even worse fit (ergo the need to fix your hiring process).
Total lack of self awareness in the corporate world really is an amazing thing to behold. I suppose this is "iterating" (in HR speak, not code speak): taking a set of criteria which generates a wrong conclusion, and then applying all that to ancillary things to find more wrong answers.
On the other hand, "they would not have been a good fit" sounds suspiciously like a blanket, non-falsifiable denial of failure. I other words, bullshit.
See also: "you don't have enough experience," one which I most recently heard myself after four interviews and a technical assessment, in which my (passing) solution included a bugfix to the test itself.
"Culture fit" has become like the currency of recruitment. Supposedly what you may have to pay with for a potentially great engineer (technically) about whom the hiring team didn't feel comfortable with. I think the original question is a great one. Do we actually put these intuitions to the test?
>>greatness in tech is not constrained by capital, it’s constrained by labor; money can be manufactured in an instant, but talent takes years to cultivate
>>as we tend to do every decade
One thing maybe the author maybe didn't focus about is those talented engineers finally leaving fang companies as it is just simply time. And like it was mentioned it is just cyclical. As in all good things come to an end? I've seen a quote saying fang is were talent goes to die but these companies must be doing some pretty good and interesting training for the new generation. One that comes to mind is the guy who started Twilio coming from aws. But, on topic and on the social network companies being around for so long now I cant help but think there will be a new wave coming from them. And it would be interesting to find these new wave companies and give them as an example.
The other thing is that everything is recorded on the internet. so if one is a fraud sooner or later they would be revealed. It is kind of like when you pick up these "famous business books" and it just seems like giberish but at the time they were very popular. I've really liked some "thought leaders" and their vc track but after digging into what they've done/said it is kind of disappointing.
@numair if you are reading, sad you are quitting twitter.
a prior example is how iphone built in the flashlight app...now the apple watch built in a period female tracker (which have multiple apps built by companies worth a couple hundred M all together)...I can't see how this fails since theyve released oxygen monitor in the last watch and better heart rate monitoring...
and that has 1.4M views so maybe it looks like it? Not to mention the cool brand building etc. I mean youtube is the new tv shows and maybe they want to make videos for a long time so why not.
Thought you might like this one: A Geometric Analysis of Five Moral Principles (OUP 2017)
Ethics using vectors or from a description of the technique: The geometric approach derives its normative force from the Aristotelian dictum that we should “treat like cases alike.” The more similar a pair of cases are, the more reason do we have to treat the cases alike. These similarity relations can be analyzed and represented geometrically. In such a geometric representation, the distance in moral space between cases reflects their degree of similarity. The more similar a pair of cases are from a moral point of view, the shorter is the distance between them.