It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Thank you.
Some features of ATS will be disabled while you continue to use an ad-blocker.
originally posted by: Oldcarpy2
a reply to: quintessentone
Which threads?
Do I have to post on all of them?
originally posted by: Oldcarpy2
a reply to: quintessentone
Yes. You do that a lot yourself.
originally posted by: PorkChop96
a reply to: quintessentone
That's fine, keep avoiding the hard things and life. We understand, it's not for everyone.
I'm still convinced you don't even know what "gaslighting" is. Pretty big word for you to use, maybe you should look it up sometime
originally posted by: Oldcarpy2
a reply to: quintessentone
Yes, and that's why they are not that reliable.
Polls based on samples of populations are subject to sampling error which reflects the effects of chance and uncertainty in the sampling process. Sampling polls rely on the law of large numbers to measure the opinions of the whole population based only on a subset, and for this purpose the absolute size of the sample is important, but the percentage of the whole population is not important (unless it happens to be close to the sample size). The possible difference between the sample and whole population is often expressed as a margin of error – usually defined as the radius of a 95% confidence interval for a particular statistic. One example is the percent of people who prefer product A versus product B. When a single, global margin of error is reported for a survey, it refers to the maximum margin of error for all reported percentages using the full sample from the survey. If the statistic is a percentage, this maximum margin of error can be calculated as the radius of the confidence interval for a reported percentage of 50%. Others suggest that a poll with a random sample of 1,000 people has margin of sampling error of ±3% for the estimated percentage of the whole population.
A 3% margin of error means that if the same procedure is used a large number of times, 95% of the time the true population average will be within the sample estimate plus or minus 3%. The margin of error can be reduced by using a larger sample, however if a pollster wishes to reduce the margin of error to 1% they would need a sample of around 10,000 people.[13] In practice, pollsters need to balance the cost of a large sample against the reduction in sampling error and a sample size of around 500–1,000 is a typical compromise for political polls. (To get complete responses it may be necessary to include thousands of additional participators.)[14][15]
originally posted by: PorkChop96
a reply to: quintessentone
Polls are meant to get a REAL sample of a whole, not a tenth of a percent.
But sure, keep that head in the sand and believe whatever the MSM di ck shoves down your throat.
originally posted by: PorkChop96
a reply to: quintessentone
target audience
Key phrase in that entire page.
Also, since when do we use Wiki as a reliable source?
originally posted by: Oldcarpy2
a reply to: quintessentone
Rasmussen?
That's in the US.
I'm not from the US which is why I am speaking for the UK.
Which happens to be what this thread is about.
originally posted by: PorkChop96
a reply to: quintessentone
Polls are meant to get a REAL sample of a whole, not a tenth of a percent.
But sure, keep that head in the sand and believe whatever the MSM di ck shoves down your throat.
originally posted by: PorkChop96
a reply to: quintessentone
Are you so naïve to believe that this poll could not have been biased in any way shape or form?
Wow, my feelz are so hurt by your meaningless insults........