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Sunday, 22 February 2026
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Throughout history, diverse voices have championed the power of dialogue and understanding.
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Unlike polls that just count votes, our machine learning clusters participants by their voting patterns. This reveals bridge statements—ideas that resonate across opposing groups—and shows where genuine consensus exists.
Traditional media amplifies division. We're building democratic infrastructure for understanding.
Machine learning clusters participants by voting patterns to surface consensus, find bridge ideas, and reveal genuine divisions. Disagree agreeably.
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Give specific details of what could be done and how? Give examples of what is not working with proposed solutions. How could we leverage technology whilst also ensuring privacy?
The New Statesman sits down with the Welsh First Minister
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There’s a measles outbreak happening close to where I live. Since the start of this year, 34 cases have been confirmed in Enfield, a northern borough of London. Most of those affected are children under the age of 11. One in five have needed hospital treatment. It’s another worrying development for an incredibly contagious and potentially…
The Supreme Court yesterday struck down Trump’s IEEPA tariffs, holding that the statute’s authorization to “regulate… importation” doesn’t include the power to impose tariffs. The majority’s strongest argument is simple: every time Congress actually delegates tariff authority, it uses the word “duty,” caps the rate, sets a time limit, and requires procedural prerequisites. IEEPA has […] The post Why the “Lesser Included Action” Argument for IEEPA Tariffs Fails appeared first on Marginal REVOL...