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<td><span style="font-family:Helvetica, sans-serif; font-size:20px;font-weight:bold;">Psychology Headlines Around the World</span></td>
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<td><a href="http://www.socialpsychology.org/client/redirect.php?from=rss_feed&id=188781&url=https://www.psypost.org/people-readily-spot-gender-and-race-bias-but-often-overlook-discrimination-based-on-attractiveness/" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">People Readily Spot Gender and Race Bias But Often Miss "Lookism"</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Jan 17th 2026, 05:27</div>
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<p><div><p>Source: <a href="https://www.psypost.org/" rel="tag" target="_blank">PsyPost</a></p>Despite strong evidence that physically beautiful individuals receive advantages in hiring, salary, and legal outcomes, biases based on attractiveness are met with much less condemnation than other forms of discrimination. A new study, published in the Journal of Personality and Social Psychology, suggests one reason why: people are much less likely to detect this form of bias—dubbed "lookism"—than they are to spot gender or race bias.</div><h6></h6><br><a href="https://www.socialpsychology.org/client/redirect.php?action=rssHomepage" target="_blank"><img title="Brought to you by Social Psychology Network" alt="Brought to you by SocialPsychology Network" src="https://www.socialpsychology.org/images/rss-footer-large.png" border="0" width="400" height="45"></a><br><br></p>
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<td><a href="http://www.socialpsychology.org/client/redirect.php?from=rss_feed&id=188779&url=https://www.sciencedaily.com/releases/2026/01/260117053526.htm" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">AI Maps the Hidden Forces Shaping Cancer Survival Worldwide</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Jan 17th 2026, 05:27</div>
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<p><div><p>Source: <a href="https://www.sciencedaily.com/" rel="tag" target="_blank">Science Daily - Top Health</a></p>Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates vary widely around the world. In a report published in the cancer journal Annals of Oncology, an AI model analyzed cancer data and health system information from 185 countries to see which factors—such as access to radiotherapy, universal health coverage, and economic strength—are most closely linked to patient survival.</div><h6></h6><br><a href="https://www.socialpsychology.org/client/redirect.php?action=rssHomepage" target="_blank"><img title="Brought to you by Social Psychology Network" alt="Brought to you by SocialPsychology Network" src="https://www.socialpsychology.org/images/rss-footer-large.png" border="0" width="400" height="45"></a><br><br></p>
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<p><strong>Forwarded by:<br />
Michael Reeder LCPC<br />
Baltimore, MD</strong></p>
<p><strong>This information is taken from free public RSS feeds published by each organization for the purpose of public distribution. Readers are linked back to the article content on each organization's website. This email is an unaffiliated unofficial redistribution of this freely provided content from the publishers. </strong></p>
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