I think it depends on where you are in your timezone if you prefer DST or standard time. But most people seem to not like changing the clock. It just turns into a fight if we should stay on DST or standard time year round.
Comment on Everyday, as an American
Imgonnatrythis@sh.itjust.works 4 weeks agoYou think that because it’s how you feel or you have different stats on opinions taken from large samples in an unbiased fashion that lead you to believe this?
If it’s the former please see paylesspower.com/…/beyond-the-clock-exploring-the…
If the latter, please consider sharing your data.
candybrie@lemmy.world 4 weeks ago
Sludgeyy@lemmy.world 4 weeks ago
Ahh, yes, 1002 people is a large sample size, like .003% of the population.
Your article is also about switching. Doesn’t say anything about if people would prefer to stay on DST or standard time.
Bob@midwest.social 4 weeks ago
The way statistical sampling works, 1000 people in a population of 300,000,000 is actually good enough for most things. You can play around with numbers here to convince yourself, but at 95% confidence 1000 people will give an answer to within 3% of the true answer for the 300,000,000 population.
Sludgeyy@lemmy.world 3 weeks ago
If the 300m people lived in the same area and you got a true random sample.
Sunsets at 9:09 today in Michigan
Sunsets at 8:04 today in California
Sunsets at 8:34 today in North Carolina
Sunsets at 7:57 today in Alabama
Sunsets at 7:38 today in Arizona (They are on standard time)
Sunsets at 7:13 today in Hawaii
Sunsets at 11:36 today in Alaska
Someone in Arizona might want the sun to set at 7:38. It’s blazing hot all day.
Someone in Michigan might be fine with sunsetting at 8:08 with standard time.
Someone in Alabama might not want the sun to set at 6:57.
Someone in Hawaii probably doesn’t want the sun to set at 6:13.
Even if you split up the 1000 people to equally represent all states, that’s only 20 people per state.
Bob@midwest.social 3 weeks ago
I mean, yeah, 1000 people is enough assuming there’s no sampling bias. But if you’ve got sampling bias, increasing the sampling size won’t actually help you. The issue you’re talking about is unrelated to how many people you talk to.
Your own suggestion of splitting up the respondents by state would itself introduce sampling bias, way over sampling low population states and way under sampling high population states. The survey was interested in the opinions of the nation as a whole, so arbitrary binning by states would be a big mistake. You want your sampling procedure to have equal change of returning a response from any random person in the nation. With a sample size of 1000, you’re not going to have much random-induced bias for one location or another, aside from population density, which is fine because the survey is about USA people and not people in sub-USA locations.