Mishra Complexity Threshold Hypothesis (MCTH)

When many small parts or individuals interact with each other, they often start acting together in unexpected ways, like birds flocking in the sky or neurons creating thoughts. However, scientists still debate whether increasing this interaction complexity always leads to sudden, sharp turning points (thresholds), or if changes always happen slowly and gradually. This paper introduces the Mishra Complexity Threshold Hypothesis (MCTH) to explore this question. Instead of assuming every system works the same way, MCTH proposes a new mathematical framework to test whether systems hit specific "tipping points" when their complexity reaches a certain level. To test this idea, the paper outlines computer simulations and network experiments that can either prove or disprove the hypothesis. Ultimately, MCTH provides a clear, testable way to study how complex systems behave, while carefully noting that the hypothesis is still a proposal waiting for real-world testing.