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How the Napa Earthquake Affected Bay Area Sleepers

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Re: How the Napa Earthquake Affected Bay Area Sleepers

#111

Earlier quoted context omitted.

You are correct. I am using an old browser. It does date from the present decade, however. It's not that old. I'm somewhat amused by the number of sites which fail to work properly (some at all) with it. Imgur is entirely dead. Reddit I can read, but moderation and reply buttons don't work. I hit the beta rollout of a news site last night (apparently part of their A/B test) and found that among the features which fai…

Why are you complaining? Web developers are not obligated to support people who chose to browse the web through a broken interface.

Nor am I obligated to use systems and services which don't support minimal HTML interfaces. Graceful degradation is generally useful, particularly as most web spidering is still basic HTML (some now support aspects of JS as I understand). You're invisible to the world if you can't get indexed.

I've also found that the very rudimentary browsers included in cheap feature phones tend not to work particularly well with any measure of "modern" websites (though others do support these fairly well). While I don't suppose these are a large financial market, they're likely a large user market, as those phones are both cheap and exceptionally thrifty with battery life (weeks, not hours).

Given that this is graphical content, that's less a concern. But as I noted above: simply providing a fallback JPEG alt would have worked.

And noting an issue isn't the same as complaining. Actually, if you'll note, I fixed the problem, after a fashion, by providing a link to alternate and accessible content.

But thanks for your depth of understanding, empathy, and sympathy.

Re: How the Napa Earthquake Affected Bay Area Sleepers

#112
post #50

Earlier quoted context omitted.

OTOH, if their sample size is the same as the population size, their data is by definition statistically significant.

Not even that. If the sample size in general is extremely large (irrespective of its proportion to the population size), than the results are statistically significant. A sample size in the thousands counts as "extremely large."

Surely the sample, however large, must follow the same distribution than the population distribution? If you sample 1000 insomniacs, how do you get anything significant?

My remark was just that, the sample bias has an impact on the significance of the results. I do not know if in actuality people using sleep monitors form a different distribution than the general population regarding sleep patterns, but it seems likely.

The title of the article mentions "Bay Area sleepers", so it would seem to me that they do form conclusions about the general population, not just Jawbone wearers.

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