I have taken courses in stats, my job involves a lot of stats, and yes, I realize it is non intuitive if someone does know how stats work.
but lets see if we can teach you a thing.
https://www.checkmarket.com/wp-content/uploads/2013/02/estimate_population_survey_sample.gif
This is a chart of population size, margin of error, and confidence interval
A brief look the chart, will show you that to retain the same margin of error, and confidence for say…
5% Margin of error, with a 95% confidence
For 100,000 people, you need 383
For 1,000,000 people, you need 384
Now, I realize THAT is not intuitive, you notice what DOES change the amount of people needed a lot? The Margin of error.
You can adjust the formula, so that GIVEN the responses, you can work out the chances it breaks the 50% threshhold (since you are checking to see if it is within the error range, and if people are very much on one side, it requires less sample)
In our case, it was WAY more than enough. Especially since we had samples from difference sample sets, which agreed with each other.
It help put it in perspective, we do stuff with particle accelerators. Now the number of particles which collide IN those accelerators are incredibly tiny compared to the number of particles say… your breakfast, let alone the planet, or solarsystem… etc.
But we can still make some strong claims on the results. How? Well, because that formula is eventually stabilized on a number for sample size and error for any given population.
Now that should cook your noodle a bit. What is even weirder, the number is still REALLY low.
When you are show if you break the 50% threshold, when the answers push that hard on one side, dozens is all you need.
People did leave the game, but, the results from the polls didn’t move, which shows that people left the game in roughly the same ratios as people who loved it as people who hated it. (or people moved from one category to another, in large numbers, but, you would have to show that, and that would be hard for you)