There are two possible outcomes: if the result confirms the hypothesis, then you've made a measurement. If the result is contrary to the hypothesis, then you've made a discovery.
We search through historical data looking for anomalous patterns that we would not expect to occur at random. Our scheme is to analyze data and markets to test for statistical significance and consistency over time. Once we find one， we test it for statistical significance and consistency over time. After we determine its validity， weask， ‘Does this correspond to some aspect of behavior that seems reasonable？’
