Fake is generally the wrong word. Inaccurate would be much more appropriate. Every population estimate is just that. There is going to be error. The error may be small or large, and it may be biased in one direction or another, but there is a clear chain from data to result. Even if your data sources are fraudulent, if you're making any attempt to account for that, though you may not do a very good job, it's still just inaccuracy. Fake would imply that the people releasing the population estimates have a much better estimate but are choosing to instead publish a made up number. This may actually happen in a few cases, but the claim that it's widespread is both hard to believe and unsupported by this article.
> Fake would imply that the people releasing the population estimates have a much better estimate but are choosing to instead publish a made up number
Fake simply means not genuine. It doesn’t require the people reporting it to have a real estimate. It simply requires the people reporting it to just not try finding the real number.
Incentives (for western Governments) are strong to show population has grown as little as possible, because it reduces stats on (mostly illegal) immigration, and improves GDP-per capita. I think it is probably healthy to explore if these incentives leak into the data that Governments produce. Probably to some extent it does, to be frank, even if that extent is just not looking too closely at passive measurements like food purchase trends or similar.
> Fake would imply that the people releasing the population estimates have a much better estimate but are choosing to instead publish a made up number.
That is literally what the article describes, though, in Papua New Guinea. And it describes why states in Nigeria have such a strong incentive to fake their population numbers, that it's impossible to achieve an accurate national total.
I do think the headline exaggerates, I doubt "a lot" are fake, but some do seem to be.