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Society Speaks
Sunday, 08 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?
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“This lightbulb went off that almost no one was asking these questions.” In 2006, Elie Hassenfeld and a few of his friends pooled some money they wanted to donate to charity. And they wanted to find charities where their money would go the farthest in improving lives. That information, it turned out, was incredibly hard to find. That was the seed of GiveWell. For almost a decade, GiveWell has dedicated itself to rigorously researching the impact of charities around the world and channeling do...
What will America’s story be after President Trump? My colleague David Leonhardt did a great series on that question this year, talking to a number of leading politicians. I thought two of those episodes, with Senator Bernie Sanders and with Senator Ruben Gallego, would be of particular interest to you. And they’re great to listen to as a pair. Sanders and Gallego have strong views about where the Democratic Party went wrong and how it can win back working-class voters in particular — views t...