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How the Explanatory Filter Can Help Quash Conspiracy Theories

I found Dembski’s explanatory filter quite helpful in investigating voter fraud claims

William Dembski’s explanatory filter is a decision strategy for identifying events that are unlikely to have happened purely by chance. The filter proceeds in three main steps, which can be illustrated via the plot device in Contact, a novel (1985) by Carl Sagan, followed by a film (1997): Eliminate events of large probability (necessity): A radio telescope receives a pattern of beeps and pauses. Perhaps the pattern seems strange to us but we could just be overinterpreting inevitable space noise. Eliminate events of medium probability (chance): The pattern turns out to be a sequence of prime numbers. However, large randomly generated numbers sometimes feature apparent patterns (five 5s in a row, for example) that don’t signify anything. Specify the event…

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Chain of amino acid or biomolecules called protein - 3d illustration

If AlphaFold Is a Product of Design, Maybe Our Bodies Are Too

The deeper we go into science, the more important our unique human contributions become

Recently, we’ve been looking at tech philosopher George Gilder’s new Gaming AI about what AI can—and can’t—do for us. It can’t do our thinking for us but it can do many jobs we don’t even try because no human being has enough time or patience to motor through all the calculations. Which brings us to the massive complexity of the proteins that carry out our genetic instructions—better knowledge of which would help us battle many diseases. Gilder notes that when DeepMind’s AlphaGo beat humans at the board game Go in 2016, it wasn’t just for the fun of winning a game. DeepMind cofounder Demis Hassabis (pictured in 2018) is more interested in real-life uses such as medical research (p. 11).…