Difference between revisions of "Power of data"

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[[Category:Data]]
[[Category:Logic]]
[[Category:Causation]]
[[Category:Counter-factual]]
[[Category:Truth]]

Revision as of 01:25, 19 February 2022

The power of data comes from its embedded information content that has the potential to reveal truth. Even a set of badly encoded data, could reveal information about its source in ways that are not always intuitive from shallow observations.

The notion of counter-factuals

Data content may not be correct, but noise and lies included, reveal certain qualities and quantities of the realistic context of data collection. For more explainations on counter-factuals, see Judea Pearls work on causation[1].

References

  1. Pearl, Judea (2000). Causality:models, reasoning, and inference. local page: Cambridge University Press. ISBN 978-0-521-77362-1. 

Related Pages