Correlative Analytics -- or as O'Reilly might term the
Social Graph -- sort of mirrors the debate on 'brute force'
algorithmic proofs (that are "
true for no reason,"
cf.) in which "computers can extract patterns in this ocean of data that no human could ever possibly detect. These patterns are correlations. They may or may not be
causative, but we can learn new things. Therefore they accomplish what science does, although not in the traditional manner... In this part of science, we may get answers that work, but which we don't understand. Is this partial understanding? Or
a different kind of
understanding?" Of course, say some in the scientific community:
hogwash; it's just a fabrication of scientifically/statistically illiterate pundits, like whilst new techniques in
data analysis are being developed to help keep ahead of the deluge...
posted by kliuless
on Jul 21, 2008 -
40 comments
The Logic of Diversity "A new book,
The Wisdom of Crowds [
..:] by
The New Yorker columnist James Surowiecki, has recently popularized the idea that groups can, in some ways, be smarter than their members, which is superficially similar to
Page's results. While Surowiecki gives many examples of what one might call collective cognition, where groups out-perform isolated individuals, he really has only one explanation for this phenomenon, based on one of his examples: jelly beans [
...] averaging together many independent, unbiased guesses gives a result that is probably closer to the truth than any one guess. While true — it's the
central limit theorem of statistics — it's far from being the only way in which
diversity can be beneficial in problem solving."
(Three-Toed Sloth)
posted by kliuless
on Jun 20, 2005 -
6 comments
