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IG NOBEL ECONOMICS PRIZE 2026 [USA, MEXICO, CANADA] Paul Piff, Daniel Stancato, Stéphane Côté, Rodolfo Mendoza-Denton, and Dacher Keltner, for amassing evidence that upper class people are more likely to snatch from a children’s supply of candy, and engage in other kinds of unethical behavior.

REFERENCE: “Higher Social Class Predicts Increased Unethical Behavior,” Paul K. Piff, Daniel M. Stancato, Stéphane Côté, Rodolfo Mendoza-Denton, and Dacher Keltner, Proceedings of the National Academy of Sciences, vol. 109, no. 11, 2012, pp. 4086-4091. <doi.org/10.1073/pnas.1118373109> WHO ATTENDED THE CEREMONY: Paul Piff

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cross-posted from: https://piefed.world/c/scientificarticles/p/1379958/cancer-cells-release-antioxidants-to-prevent-immune-cells-from-destroying-them

Molecules called reactive oxygen species, which include so-called 'free radicals', have long been viewed as damaging byproducts of our body’s metabolism – a reason why antioxidant supplements have been considered as a potential way of reducing cancer risk.

Now, scientists have discovered that certain immune cells depend on these very molecules to activate and destroy cancer cells, and that tumours exploit this dependency by releasing natural antioxidants to shut down the immune attack.

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August 24, 2026

Abstract

Despite algorithms' potential to improve public services, adoption has been limited by concerns about effectiveness and equity. We conduct a randomized controlled trial (N=4,681) providing real-time algorithm support to Child Protective Services (CPS) workers allocating investigations. Algorithm access reduced maltreatment-related hospitalizations, especially among disadvantaged groups, while reducing CPS surveillance of Black children. Notably, child injury admissions decreased by 21 percent. Workers reallocated investigations toward children at greater likelihood of harm, without mechanically following algorithmic predictions. Discussion notes suggest the algorithm shifted worker attention to complementary information. Counterfactual exercises show that human-algorithm complementarity would outperform algorithmic automation in efficiency and equity.

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cross-posted from: https://piefed.world/c/scientificarticles/p/1377681/brain-scans-reveal-new-link-between-hormone-and-womens-mood

The influence of the hormone progesterone on mood is well known. Now researchers from the University of Barcelona have shown how higher levels of progesterone during the menstrual cycle are linked to less distinct patterns of activity in areas of the brain involved in controlling emotions.

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