I wish people would get to realise that 1,500 people is all it rakes in a poll. It is the optimum number and provides an error margin of 2.5%. Mathematically it's known as the 'confidence interval'.
The only fly in the ointment, Thaiwise, is that the survey needs to represent a random selection of the population. This is generally done by random computer selected phone calls but, in this country, undoubtedly it'll be done by a junior government geek with a clip board in the nearest and easiest shopping mall.
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The margin of error in a sample = 1 divided by the square root of the number of people in the sample
How did someone come up with that formula? Like most formulas in statistics, this one can trace its roots back to pathetic gamblers who were so desperate to hit the jackpot that they'd even stoop to mathematics for an "edge." If you really want to know the gory details, the formula is derived from the standard deviation of the proportion of times that a researcher gets a sample "right," given a whole bunch of samples.
Which is mathematical jargon for..."Trust me. It works, okay?"
So a sample of just 1,600 people gives you a margin of error of 2.5 percent, which is pretty darn good for a poll.
------------------ https://www.robertniles.com/stats/margin.shtml ---------------------------------------
Also . . . . -------- https://www.scientificamerican.com/article/howcan-a-poll-of-only-100/