Within a big data context, we need to obtain a more complete picture of current stories within a population in order to provide the opportunity to discover new hypothesis by comparing and contrasting different stories or story-elements. Relying only on voluntary story-telling or rapport-based journalism is not sufficient. Stories will remain that people will strongly protect as secrets. Part of that protection is to avoid talking at all. Coercion can compel them to talk and even if they succeed in protecting their secrets, their attempts to construct a compelling fabrication will require supplying credible details drawn from their experiences or education. The individual stories and their elements may be very unreliable data, but when combined we may observe useful patterns to suggest new hypotheses that we can test by seeking out new sources of information.