1. Read the article:Zyga, L., (2016, January 4), "Why too much evidence can be a bad thing," Phys.org, available online athttps://phys.org/news/2016-01-evidence-bad.html
2. Answer the following:
   1. What does the Paradox of Unanimity, as it's discussed in the article, suggest about the results of experiments?
   2. Does it suggest that, for statistical significance, there should always be a (small) portion of experiments that contradict a result?
   3. Does it mean that a result that is repeatedly verified is less reliable than one which has some disproof? Give examples to support your answer.

Please write legibly.