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	<entry>
		<id>https://www.explainxkcd.com/wiki/index.php?title=1574:_Trouble_for_Science&amp;diff=101339</id>
		<title>1574: Trouble for Science</title>
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				<updated>2015-09-08T10:53:09Z</updated>
		
		<summary type="html">&lt;p&gt;CF Gauss: /* Explanation */ rewrote explanation for the alt text; I don't think the previous interpretation of &amp;quot;small-scale&amp;quot; made sense&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{comic&lt;br /&gt;
| number    = 1574&lt;br /&gt;
| date      = September 7, 2015&lt;br /&gt;
| title     = Trouble for Science&lt;br /&gt;
| image     = trouble_for_science.png&lt;br /&gt;
| titletext = Careful mathematical analysis demonstrates small-scale irregularities in Gaussian distribution&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
==Explanation==&lt;br /&gt;
{{incomplete|More details in each article, especially the one about antibodies and rodents.}}&lt;br /&gt;
The comic highlights the fact that several well-established, rather fundamental scientific methods and results have come under pressure in recent history due to newer findings which suggest that these methods are in fact not as well-proven and scientifically reliable as was previously believed. This leads to the impression that science might be in trouble, as implicated by the title. This is however greatly exaggerated by the last (fictional) headline, which suggests that Bunsen burners in fact have a cooling effect, which is of course absolutely ridiculous, but would nevertheless change one more fundamental scientific belief drastically.&lt;br /&gt;
&lt;br /&gt;
The title of five scientific articles are shown:&lt;br /&gt;
&lt;br /&gt;
;Many commercial antibody-based immunoassays are unreliable&lt;br /&gt;
This sentence is true. See Kebaneilwe Lebani, [http://espace.library.uq.edu.au/view/UQ:352531 Antibody Discovery for Development of a Serotyping Dengue Virus NS1 Capture Assay], 2014. In this PhD thesis, 11 references are given.&lt;br /&gt;
&lt;br /&gt;
;Problems with the p-value as an indicator of significance&lt;br /&gt;
p-value is the probability that an event is observed just by chance. If p-value is under a threshold level (''α'', usually &amp;lt;5%, or &amp;lt;1% for being more conservative) one can assume that the event observed &amp;quot;exists&amp;quot;.&lt;br /&gt;
The value used for ''α'' has been proposed by [http://web.lru.dk/sites/lru.dk/files/lru/docs/kap9/kapitel_9_126_On_the_origins.pdf Fisher] and is completely arbitrary.&lt;br /&gt;
&lt;br /&gt;
The use of p-values as a measure of statistical significance is frequently criticized, for example in [http://wiki.bio.dtu.dk/~agpe/papers/pval_notuseful.pdf Hubbard and Lindsay]. Randall has demonstrated this problem in the past in [[882: Significant]].&lt;br /&gt;
;Overfeeding of laboratory rodents compromises animal models&lt;br /&gt;
&lt;br /&gt;
[http://tpx.sagepub.com/content/24/6/757.full.pdf Keenan et al.] makes this case.&lt;br /&gt;
&lt;br /&gt;
;Replication study fails to reproduce many published results&lt;br /&gt;
A [https://explorable.com/replication-study Replication Study] is a study designed to replicate the results of a previous study by using the same methods for a different set of subjects and experimenters. It aims to recreate the results to gain confidence in the results of the previous study as well as ensuring that the findings of the previous study are transferable to other similar areas of study.&lt;br /&gt;
&lt;br /&gt;
Randall is probably referring to this recent study: http://www.nature.com/news/over-half-of-psychology-studies-fail-reproducibility-test-1.18248&lt;br /&gt;
&lt;br /&gt;
;Controlled trials show Bunsen burners make things colder&lt;br /&gt;
This is a joke, but possible in high temperature cases. There is probably some methodological error if putting something over the Bunsen burner flame (which is between 1000K and 2000K) makes it colder. If that thing were already much hotter than the flame (more than 2000 Kelvin), the Bunsen Burner's flame would equalize the temperature between the flame and thing resulting in cooling.&lt;br /&gt;
&lt;br /&gt;
;Careful mathematical analysis demonstrates small-scale irregularities in Gaussian distribution&lt;br /&gt;
&lt;br /&gt;
This is another joke, as the Gaussian probability distribution function is a very smooth curve, the well-known &amp;quot;bell curve&amp;quot;. This smoothness is due to the fast decay of its Fourier transform (the characteristic function), which rules out the existence of &amp;quot;local&amp;quot; or &amp;quot;small-scale&amp;quot; irregularities.&lt;br /&gt;
&lt;br /&gt;
==Transcript==&lt;br /&gt;
:[Five panels, each with the top part of a scientific article, where only the title is readable. Below is the list of authors and subheading and text in unreadable wiggles.]&lt;br /&gt;
&lt;br /&gt;
:Many Commercial Antibody-Based Immunoassays Are Unreliable&lt;br /&gt;
&lt;br /&gt;
:Problems With the p-Value as an Indicator of Significance&lt;br /&gt;
&lt;br /&gt;
:Overfeeding of Laboratory Rodents Compromises Animal Models&lt;br /&gt;
&lt;br /&gt;
:Replication Study Fails to Reproduce Many Published Results&lt;br /&gt;
&lt;br /&gt;
:Controlled Trials Show Bunsen Burners Make Things Colder&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{comic discussion}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Science]]&lt;br /&gt;
[[Category:Biology]]&lt;br /&gt;
[[Category:Chemistry]]&lt;br /&gt;
[[Category:Math]]&lt;br /&gt;
[[Category:Physics]]&lt;/div&gt;</summary>
		<author><name>CF Gauss</name></author>	</entry>

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