<div dir="ltr"><div dir="ltr"><b>the poor thinking behind an arbitrary "significance" has been a tyranny for too long. this is a good development and about time.</b><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><br></div><font face="arial, helvetica, sans-serif"><b>Larry Selinker</b></font><div><span style="font-size:12.6666669845581px"><u><font color="#0000ff"><a href="mailto:ls110@nyu.edu" target="_blank"><b>ls110@nyu.edu</b></a></font></u></span><div><div><a href="http://www.researchproductionassociates.com/" target="_blank"><font face="arial, helvetica, sans-serif" color="#0000ff"><b>http://www.researchproductionassociates.com/</b></font></a></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Mar 25, 2019 at 5:34 PM Margaret van Naerssen <<a href="mailto:margaret.vannaerssen@gmail.com">margaret.vannaerssen@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><div dir="ltr">Thanks for posting this article!!<div>Margaret</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, Mar 24, 2019 at 4:50 AM Francis Hult <<a href="mailto:francis.hult@englund.lu.se" target="_blank">francis.hult@englund.lu.se</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex">
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<div>Nature<br>
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Scientists rise up against statistical significance<br>
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How do statistics so often lead scientists to deny differences that those not educated in statistics can plainly see? For several generations, researchers have been warned that a statistically non-significant result does not ‘prove’ the null hypothesis (the
hypothesis that there is no difference between groups or no effect of a treatment on some measured outcome)1. Nor do statistically significant results ‘prove’ some other hypothesis. Such misconceptions have famously warped the literature with overstated claims
and, less famously, led to claims of conflicts between studies where none exists.<br>
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Full story:<br>
<a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__www.nature.com_articles_d41586-2D019-2D00857-2D9-3Futm-5Fsource-3Dtwt-5Fnnc-26utm-5Fmedium-3Dsocial-26utm-5Fcampaign-3Dnaturenews-26sf209700813-3D1&d=DwMFaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=T9-NPY4GiWqy0Io-G-ZtYA&m=hb7XkBl3SuN-MHCpIo71fPy-x5uHonQ0qIEY-ZOmX3o&s=1_6YEbHyJfU3Sgd8F20i_qc6jT44SdQgPYnMpZB-c7k&e=" target="_blank">https://www.nature.com/articles/d41586-019-00857-9?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf209700813=1</a></div>
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</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail-m_3137690459090764648gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><font size="2"><span style="color:rgb(0,0,0);font-family:-webkit-standard">"We must be the change we wish to see in the world." (</span><span style="color:rgb(0,0,0);font-family:-webkit-standard">Mahatma Gandhi )</span></font><font size="1"><br></font></div><div><font size="2"><span style="color:rgb(0,0,0);font-family:-webkit-standard"><br></span></font></div><div><span style="font-size:x-small">CONFIDENTIALITY WARNING: This email may contain privileged or confidential information and is for the sole use of the intended recipient(s). Any unauthorized use or disclosure of this communication is prohibited. If you believe that you have received this email in error, please notify the sender immediately and delete it from your system.</span><br></div></div></div></div></div>
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