High Data Scientist salaries and expectations combined with a shortage of qualified people often mean you're expected to be a one-person band, which I find to be miserable.
294 karma · joined March 19, 2015
High Data Scientist salaries and expectations combined with a shortage of qualified people often mean you're expected to be a one-person band, which I find to be miserable.
I've been a part of these discussions at very high levels and this is the consistent theme. Short-term, easily quantifiable savings against nebulous, hard to quantify harms. Facilities folks always win and get a pat on the back. Any push back about the open office should, in my opinion, start with addressing this basic incentive. Everything about collaboration, open communication, etc. is just window dressing used to justify the moves.
That said, you might skip the digression on silver (ugh).
Corruption is mentioned in the comments here but I'm disappointed it wasn't mentioned in the article.
I think Hofstadter's answer to this question would be: To what extent is AI engaging in and using self-reference? That's the degree of consciousness it has.
https://en.wikipedia.org/wiki/G%C3%B6del,_Escher,_Bach https://en.wikipedia.org/wiki/I_Am_a_Strange_Loop
Obviously not the same thing, but I think it's an interesting association.
The basic idea is: Get more data, especially if you're measuring something subtle.
There's decent working guidelines for statistical power, but a lot of the issues (especially around replication) I see are mainly due to sample sizes being too small to adequately detect effects, especially if those effects are small.
But all things aren't equal. Most of the people doing the hacking (I know a few as well) are already intimately familiar with the biology and consequences, and are already constantly monitoring themselves, or their children and loved ones. They're the best people to test this stuff.
And, like you said, there are compliance issues with children and all sorts of bad things happening already, like devastating lows, diabetic comas, chronic sleep deprivation, etc. The closed-loop and automated systems already reduce these things and improve quality of life for all parties involved. Also the companies are taking forever and may have a vested interest in maintaining their products the way they currently are.
If all things were equal, I could understand the disdain and caution for the device hacking. But they're not.
Then we promptly switch back to p-values of .05, a lot of the time not even bothering with a statistical power calculation. I've had better success with introducing power, though. I suspect that's because we can fit it into the existing frequentist framework.
Most of them are already well acquainted with manually managing insulin and the existing products and can handle any mishaps for the most part.