georgefox
Joined 15 years ago
Joined 15 years ago
As for the number of analyses you can run, that depends on what you mean. You're right that differential privacy won't allow you to set up a database of _confidential data_ that can be arbitrarily queried infinitely many times with any meaningful privacy guarantee, but this is in no way unique to differential privacy.
What you can do with differential privacy is release noisy statistics once and let researchers use those statistics for arbitrarily many analyses. This is what the 2020 US Census is doing, for example.
It also makes sense to me that someone would appreciate a historical landmark but place a lesser value on a modern replica of that landmark. Similarly, I could imagine a person admiring a historical neighborhood more than a modern recreation of it.
> Let's drill down and focus in particular on laws about multi-family dwellings. What logic would make them good when they already exist, but bad if you wanted to build more, and even bad if you wanted rebuild them after a natural disaster?
I'm not sure the answer needs to be logical (see above), but even if it must be, I don't know why placing limits on something implies that it was never actually good in the first place. Natural disasters are another story for sure, but I would imagine that sort of massive rebuilding was not the primary motivation for the present zoning laws in Somerville.
It seems like it's theoretically possible for residents and visitors in a given city to enjoy its current building stock while simultaneously desiring different standards for new construction. Whether or not that is the case in Somerville, I don't really know, but a statement that the city couldn't legally be built from scratch the same way today doesn't necessarily imply (in my mind) that the zoning laws are illegitimate.
I get that there are other issues here too, of course.
As for the second question, yes, it does seem strange.
> [I]f you carefully craft random data so that it does not contain a Dunning-Kruger effect, you will still find the effect. The reason turns out to be embarrassingly simple: the Dunning-Kruger effect has nothing to do with human psychology[1].
> [1]: The Dunning-Kruger effect tells us nothing about the people it purports to measure. But it does tell us about the psychology of social scientists, who apparently struggle with statistics.
It seems to me that despite rudely criticizing a broad swath of academics for their lack of statistical prowess, the author here is himself guilty of a cardinal statistical sin: accepting the null hypothesis.
The fact that data resemble a random simulation in which no effect exists does not disprove the existence of such an effect. In traditional statistical language, we might say such an effect is not statistically significant, but that is different from saying that the effect is absolutely and completely the result of a statistical artifact.
The nuance of statistics is never-ending.