Skepfeeds-The Best Skeptical blogs of the day

Do You Know What Time It Is?

Posted in Friendly Atheist by Skepdude on July 8, 2009

READ THE REST OF THIS ENTRY AT THE FRIENDLY ATHEIST

For the American readers, at some point this morning, in whatever time zone you’re in, the time will be:

04:05:06 07/08/09

(4:05 am, 6 seconds, on July 8th, 2009.)

You know what the significance of that is?

There is none. None at all.

Just thought I’d point that out.

Now, if only someone could tell these people that…

READ THE REST OF THIS ENTRY AT THE FRIENDLY ATHEIST

Tagged with:

New “Knowing” Film Based on Numerology and Bible Code Pseudoscience

Posted in Center for inquiry by Skepdude on March 19, 2009

In the new film “Knowing,” Nicolas Cage plays a professor who is given a piece of paper containing a mysterious number code taken from a time capsule at his son’s school. He decodes the message and realizes that the numbers accurately predicted past disasters—as well as an imminent apocalypse. That last bit, of course, makes it into an interesting movie. If he’d stopped at “discovering” the hidden code, the movie would end with him writing a best-selling New Age self-help book.

Though the plot is fictional, this scenario has occurred many times in the real world. In 1997 Michael Drosnin published a best-selling book titled “The Bible Code,” in which he claimed that the Bible contained a code (hidden in numbers and letters) accurately predicting past world events. Drosnin’s work was later refuted, with critics (including CSI Fellow David E. Thomas) demonstrating that the “meanings” he found were simply the result of selectively choosing data sets from a vast sea of random letters.

In psychology, the tendency for the human mind to find coincidences, patterns, and connections in random data is called apophenia. It is related to paredolia, the mind’s ability to find faces and images in ambiguous stimuli such as clouds, tortillas, food stains, and so on. In statistics, there is even a name for this type of thinking mistake: a Type I error. A common example of a Type I error is a false positive result on a medical test, for instance detecting a disease.

READ THE REST OF THIS ENTRY AT “CFI”