based on wave probability, if a coin is tossed N times (N>>1) and never lands the tail, the probability that in the next round, it lands the tail should be higher than 1/2 (at the limit, N -> inf, the probability tends to 1).
But standard probability theory is different because each experiment is independent and therefore the probability is always 1/2. These two approaches are vividly different. However, the rule of large numbers can be used to link these two approaches. If N>>1, then n_t ~ N/2 and n_h ~ N/2 (where n_t refers to the number of times the coin lands the tail). As N -> inf, n_t -> N/2.
So if for some large N, the coin never lands the tail, then the rule of the large number should somehow deform the space so that the probability that in the next rounds, the coin lands the tail is higher.
UPDATE 1:
In other words, there should be a symmetry that deforms space so that n_h and n_t converge to N/2 (as N -> inf). The wave probability therefore requires mechanisms for this purpose. This distinguishes the wave probability from the standard probability theory.