Suggestions for a Future Media

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This is a cut (18 min) from a recent Daniel Schmachtenberger interview and I think he's pointing out some really good models for both better media sense-making and broader corporate analytics.

Part of it is providing, at least in the corporate case, better meta-analysis across broader data sets, and he's speaking to a core problem that we have a lot of in both science and industry - siloing of emerging information when a lot of times you have various sorts of causation cutting across those silos and we need people who can see cross-domain with an accurate enough grasp on the different domains to be able to able to make accurate assessments of what they're seeing that can provide actionable information back to people who, quite often for funding reasons, are working in siloed capacities.

The bit he's saying on the news - he's talking about a news group and website, or possibly several, where there's a surface-level analysis at one level and an 'under the hood' feature where people can look into each news claim, the data sets that comprised it, which data sets they decided to include, which sources they found less credible and why, and explanation of the different epistemic lenses that they applied to that information. Interested viewers could then dig deeper, do their own additional research, and be part of either the correction process or the addition of new bits of understanding.