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                    <title>Data scientists build more honest prediction models</title>
                    <description>On Nov. 3, 2020—and for many days after—millions of people kept a wary eye on the presidential election prediction models run by various news outlets. With such high stakes in play, every tick of a tally and twitch of a graph could send shockwaves of overinterpretation.</description>
                    <link>https://phys.org/news/2021-03-scientists-honest.html</link>
                    <category>Mathematics</category>                    <pubDate>Fri, 19 Mar 2021 09:03:32 EDT</pubDate>
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                    <title>The risks of communicating extreme climate forecasts</title>
                    <description>For decades, climate change researchers and activists have used dramatic forecasts to attempt to influence public perception of the problem and as a call to action on climate change. These forecasts have frequently been for events that might be called &quot;apocalyptic,&quot; because they predict cataclysmic events resulting from climate change.</description>
                    <link>https://phys.org/news/2021-02-citing-uncertainty-decreases-faith-science.html</link>
                    <category>Environment</category>                    <pubDate>Fri, 19 Feb 2021 08:54:19 EST</pubDate>
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                    <title>New method optimizes outcomes for subjects in comparison tests</title>
                    <description>Clinical trials of new drugs or devices face a problem that most empirical inquiries don&#039;t: They must not only provide clear data about toxicity and efficacy but also try to maximize the quality of treatment for all of the patients enrolled.</description>
                    <link>https://phys.org/news/2015-09-method-optimizes-outcomes-subjects-comparison.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 18 Sep 2015 08:31:14 EDT</pubDate>
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                    <title>Scientists Develop New Method to Quantify Climate Modeling Uncertainty</title>
                    <description>(PhysOrg.com) -- Climate scientists recognize that climate modeling projections include a significant level of uncertainty. A team of researchers using computing facilities at Oak Ridge National Laboratory has identified a new method for quantifying this uncertainty.</description>
                    <link>https://phys.org/news/2009-10-scientists-method-quantify-climate-uncertainty.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Wed, 21 Oct 2009 16:40:13 EDT</pubDate>
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