Not statistically.
Is the soup smooth or lumpy? Striated or uniform? For that matter a soup could (and often does) involve huge soup bones that give it important parts of its flavor, but never show up directly in a spoonful. And you might need something different from a spoon to convincingly rule out some specific rare lumpy ingredient.
The didactic value of sampling the soup pot goes well behind its basic function: correcting the beginner’s misperception that a sample’s statistical power is directly related to population size :)
“You're gonna need a bigger spoon!”
No, The most important thing is the distribution of the sample size. You have to make sure it isn't obviously biased in some way (i.e You're only surveying students in a university for extrapolation on the entire population of the country). Beyond that, the desired sample size levels off quickly.
5000 (assuming the same distribution) won't be any more or less accurate for 10M than it is for 1M.
Of course, if you just ask everyone or almost everyone then you no longer need to worry about distribution but yeah
Since there aren't a billion students in the USA, 35% of them is an impossibility.
If you scale your population above some recognized boundary you aren't sampling in the same space any more. After all the local star density to 1AU tends very strongly to 1. That's not indicative of the actual star density in the milky way.
What are you referring to?
https://www.404media.co/ceo-reminds-everyone-eightsleep-pod-...
https://trends.google.com/trends/explore?date=today%205-y&ge...
Which suggests that the most common use is as a tutor / cheating on homework.
Most of those kids will continue to use it as they graduate, having embedded it in their workflow (unfortunately many will probably fully outsource all thinking to it, having learned a lot less since it did it all for them).
The troughs in that graph are all during prime US school/college vacation times: Summer, Winter, and Spring breaks. And then magnitude of the fall corresponds to how long the breaks typically are. To me, that makes a lot of sense.
I'm also very wary of their analysis method, given classifiers-gonna-classify. We already see it in their example of someone asking why their game is crashing and it buckets them into Computer & Mathematical occupation. I'm guessing the original question was not that of a game developer but rather a game player, so can you really call this an occupational task? Sure it's in that domain, I guess, but in a completely different context. If I'm asking a question about how to clean my dish washer, that's hardly in repairman or industrial occupations.
Still, it's cool they're doing this.