Apophenia

Apophenia  has been defined as the experience of seeing meaningful patterns or connections in random or meaningless data.
Apophenia is known as a Type 1 error - the identification of false patterns in data.It may be compared with a so-called false positive in other test situations.

 Types of apophenia:-

  • Clustering illusion: Related to an inability to recognise actual random patterns. Uneven clusters caused by true randomness are mistaken for patterns.
  • Confirmation bias: A bias towards testing to confirm ones' hypothesis rather than disprove it.
  • Gambler's fallacy: Feeling that past events reflect and alter probability when, in fact, they don't.
  • Pareidolia: Seeing shapes, most often faces, in random patterns.

For more information log into .............. http://en.wikipedia.org/wiki/Apophenia



0 comments:

Subscribe to: Post Comments (Atom)