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causality
Trends
- 1Claim that abolishing death penalty cuts crime sparks debate●“Countries that abolish the death penalty see a decrease in crime” let me hear the names of those countries because I th
A claim circulating online says countries that abolish the death penalty see a decrease in crime, prompting sharp pushback. One widely shared response challenges the assertion, demanding specific country examples and arguing that other factors likely explain any drop in crime rates. The exchange has reignited a familiar argument over whether capital punishment deters crime, with sceptics questioning the evidence behind abolitionist claims.
- 2Law of causality sparks fresh interest online●The law of causality states that every effect has a specific cause. This principle is foundational in various fields, in
Discussion is centring on the law of causality, the principle that every effect has a specific cause. Commenters describe it as foundational to science and philosophy, arguing that understanding cause and effect helps people make sense of the world and predict future events from past ones.
- 3Rutgers associate professor co-authors report on causal evidence in education●U. associate professor co-authors report on implications of causal evidence in education
A Rutgers University associate professor has co-authored a report examining what causal evidence means for education policy and practice. The report explores how rigorous research on cause-and-effect relationships can inform decisions in schools and classrooms. The campus newspaper covered the faculty member's contribution to the work.
- 4Mapping causal biology with Mendelian randomization in the big data era▼Mapping causal biology: Mendelian randomization in the era of big data
A new science news release highlights Mendelian randomization, a statistical method that uses genetic variants as natural experiments to infer whether biological risk factors truly cause disease, as it gains new power in the era of large genomic and biobank datasets. Researchers are increasingly applying the approach to distinguish genuine causal links from mere correlations in human biology and medicine.