TRUE

The mathematical probability of a fair coin landing on a specific side is exactly 0.5 or 1/2 15. When calculating the likelihood of multiple independent events occurring in a sequence, such as consecutive coin flips, the probabilities are multiplied 17. To find the number of flips equivalent to a 1 in 10^1,822 chance, the equation is (1/2)^n = 1/10^1,822. Using logarithmic conversion, n = 1,822 / log10(2), which results in approximately 6,052.55 1 15. Therefore, calling 6,053 fair coin flips in a row is the correct mathematical equivalent for the stated odds 15 17. While some research indicates that physical coin tosses may have a slight same side bias of approximately 1%, the standard statistical model for a fair coin remains a 50/50 probability 3 11 12. The mention of election results in this context often refers to statistical models used in econometrics and presidential voting analysis 14.