Wednesday 21 October 2015

As a scientist, fooling yourself = failing yourself !

It is not uncommon in research to fall prey to make experimental data to fit your hypothesis instead of building a hypothesis based on the facts. There are many pitfalls in a scientific investigation and one must be wary of how you interpret and analyse your results. For a nice guide to avoid these fallacies, Nature has put this infographic in their news article.
Adapted from Nature

I learnt this from the following link: 
 http://conceptpickings.com/2015/10/13/scientific-methods-and-statistical-interpretations-to-believe-or-not-to-believe-that-is-the-question/

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