Building a coin-flipping experiment

If you've ever taken a course in probability and statistics, you might have seen the coin flip example. In this example, you are given an unbiased coin to flip multiple times and track the results of each flip (experiment) as either heads or tails. What this experiment illustrates is that with an unbiased coin and enough samples, you will see that the probability of either heads or tails start to converge to about 50%.

This means that, after running a sufficient number of experiments, the number of times the coin lands on heads becomes very closely equal to the number of times that it lands on tails.

Let's take a moment to make an important note regarding the previously stated analogy with respect to the reality of the preceding experiment. It has been proven that in many ways, any coin could be easily made biased so that when it is flipped, it can land on the same side each time.

That being said, I want to ensure that this is...