 Likelihood Ratio Convergence Theorem 1—The Falsification Theorem:  Suppose that the total stream of evidence \(c^n\) contains precisely m experiments or observations on which \(h_j\) fails to be fully outcome-compatible with \(h_i\). And suppose that the Independent Evidence Conditions hold for evidence stream \(c^n\) with respect to each of these two hypotheses. Furthermore, suppose there is a lower bound \(\delta \gt 0\) such that for each \(c_k\) on which \(h_j\) fails to be fully outcome-compatible with \(h_i\), 