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TagExplanatory Filter

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COVID-19’s Origins: Uses and Misuses of the Explanatory Filter

How a critic of intelligent design theory misunderstands the application of design inference

Last year in July a prominent critic of intelligent design theory, Dr. Adam Shapiro, took the Discovery Institute to task for not debunking the lab origin theory. He says, Behe seems to miss an opportunity to demonstrate that intelligent design theory shows how those pathways are not irreducible complex. Adam Shapiro, “Did Intelligent Design Just Miss Its Corona Moment?” at American Scientist and, How better to demonstrate its own apolitical nature than to apply its scientific process to debunk the Chinese lab myth? Adam Shapiro, “Did Intelligent Design Just Miss Its Corona Moment?” at American Scientist First of all, this is a fundamental misunderstanding of ID. ID theory is only resilient against false positives, not false negatives, as Dr. Ewert Read More ›

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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 Read More ›

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GMO Farming

Is GMO Detection an Application of Dembski’s Explanatory Filter?

If so, it would be an instance of the use of the filter in biology

Have you ever heard people say that intelligent design (ID) theory has never been applied to biology? They are wrong! In fact, it is applied frequently in the very important field of detecting genetically modified organisms (GMOs). “A genetically modified organism contains DNA that has been altered using genetic engineering.” (National Geographic) Detection can trace the use of GMOs, now frequent in our food supply, so that products can be recalled if there is a problem or if people just don’t want to use GMO products. GMOs are intelligently designed biological organisms, and scientists use design theorist William Dembski’s explanatory filter to detect GMOs. My claim is a bit daring, perhaps alarming for some people. Maybe I’m stretching the definition Read More ›

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Is Dembski’s Explanatory Filter the Most Widely Used Theory Ever?

It turns out that legions of critics of the Filter use it all the time, without noticing

William Dembski created quite a stir in the world of information theory with his book The Design Inference. For the first time, he outlined a rigorous method for identifying design, which he called the explanatory filter. Since then many critics have claimed that Dembski’s proposed filter is without merit due to the lack of application in the couple of decades since its invention. But, are the critics right, or are they wrong—wrong in the way that a fish doesn’t recognize water because water is the very atmosphere of the fish’s existence? Let us first remind ourselves of Dembski’s explanatory filter. His filter proceeds in three main steps. Eliminate events of large probability (necessity) Eliminate events of medium probability (chance) Specify Read More ›

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Does information theory support design in nature?

William Dembski makes a convincing case, using accepted information theory principles relevant to computer science
Intelligent design theory is sometimes said to lack any practical application. One straightforward application is that, because intelligence can create information and computation cannot, human interaction will improve computational performance. Read More ›