We need human decision makers to detect story-telling and demand that stories are properly documented
In modern data science projects with automated data collection and analytics, the hypothesis-discovery occurs at the beginning of the process. The modern decision maker participates at this early stage of the process to select discovered hypothesis that are self-evidently persuasive. The following data collection and analysis that supports this hypothesis will lead to a simple decision that does not require any last-minute invention of a story to earn the decision-makers approval. After the decision, additional invented stories will serve only the purpose of illuminating the underlying non-fiction of the data and analysis.