Short term data from limited samples can lead us to see patterns that may not exist. Taking a wider long term view averaging thousands of outcomes shows outcomes are random. Similarly, in business processes apparent patterns from short term data may not reflect the whole picture. To get the whole truth and understand situations fully requires collecting comprehensive data over all relevant factors over long periods, avoiding biases to see what we want to see. Operating based only on limited short term data risks missing real dependencies and misunderstanding processes.