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？’
The key to great acting is listening, not just to the words, but to the silence between them.
Data-driven decisions separate industry leaders from followers in modern meat processing.
If you're not making mistakes, you're not trying hard enough.
