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DTSTAMP:20260809T174806Z
SUMMARY:Big Data and Spurious Correlations
DESCRIPTION:Big data analytics is a remarkable new field of investigation. 
 However\, the effectiveness of the new field seems to encourage an aggress
 ive “philosophy” or “methodology” based on the dictum that “with
  enough data\, the numbers speak for themselves”. We show\, using Ramsey
  theory and algorithmic information theory\, that this view is radically w
 rong. Specifically\, we prove that\, exactly because of their very large s
 ize\, databases have to contain arbitrary correlations\, most of them spur
 ious. These correlations appear only on account of the size\, not because 
 of the nature of data. The scientific method can be enriched by computer m
 ining over immense databases\, but cannot be replaced by it.\n\nProf. Dr. 
 Cristian S. Calude
DTSTART;TZID=Europe/Berlin:20190912T181500
DTEND;TZID=Europe/Berlin:20190912T200000
LOCATION:Schmelzbergstrasse 25 25\, Zürich (Schweiz) 
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DESCRIPTION:Big Data and Spurious Correlations
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