Remedies can be classified. The most obvious way is the chemical and biological classification. The principle of Perfinity (see Classification and Perfinity) predicts that the best classification on one level (the material world) will have a high chance of being the best classification at other levels (remedy pictures). That explains the success of the use of botanical and zoological families. Many family pictures have been made by Mangialavori, Sankaran and Scholten. And many remedy pictures have been predicted successfully.
With Bayes' theorem the probability of these theories can be ascertained. An example of the Element Theory (Homeopathy and Elements) makes this more explicit. The experiment is a case of a patient with severe tinnitus, where the theory of the Elements leads to the successful prescription of Cadmium carbonicum. The chance of finding this remedy with the old theory is very low, let’s say 1 in 4000 (one out of 4000 remedies). The chance of finding this remedy with the Element Theory is moderate, let’s say 50%. The probability of the Element theory is low before being tested, let’s say 1/1000, "almost unbelievable". From this we can calculate the new probability of the Element theory:
P (Theory Final) = P (Theory Initial) * P (Experiment New) /*
P (Experiment Old). P (Theory Final) = 1/10000 * 50% /* (1/4000) = 0,2.
With the above experiment, the value or truth of the new theory has increased from 0.01% to 20%. With each successful experiment the value of the hypothesis increases quickly.