> That's not what he's asking. He's asking why there apparently isn't a standard process to locate and clean missing data through investigation, assuming that's the issue.

If that's what he was trying to ask, then I have, as detailed above, some notes on the attempt. But the myth that Social Security numbers were ever designed to work even half-assedly well as a single national ID number will never die, I suppose.

> Bear in mind that social security fraud is a major problem in many countries and impossibly old people is a usual indicator. The famous "blue zones" that were once studied for their long lived people are now believed to mostly be an artifact of undetected pensions fraud.

I can't really evaluate Newman's preprint [1] with much confidence, but it's only been out since September, and the Ig Nobel isn't peer review. Given also that the US state with the largest count of "supercentennarians" in Newman's data, Iowa, has a whopping 37 [2] of them, you're stretching this piece of un-peer-reviewed research far past anything it could reasonably be asked to support - hence, I suspect, the "are now believed" passive-voice weaseling in your claim quoted above.

[1] https://www.biorxiv.org/content/10.1101/704080v3

[2] As given "1.25e-05" (p. 5, ibid.) or 12.5 per million, for a population just over three million. I've taken the liberty of rounding down on the assumption we are not meant to be counting fractional supercentennarians.