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Carl Sagan's Baloney Detection Kit: Tools for Thinking Critically (2025)

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Though he died too young, Carl Sagan left behind an impres­sive­ly large body of work, includ­ing more than 600 sci­en­tif­ic papers and more than 20 books. Of those books, none is more wide­ly known to the pub­lic — or, still, more wide­ly read by the pub­lic — than Cos­mos, accom­pa­nied as it was by Cos­mos: A Per­son­al Voy­age, a com­pan­ion tele­vi­sion series on PBS. Sagan’s oth­er pop­u­lar books, like Shad­ows of For­got­ten Ances­tors or Con­tact (the basis of the 1997 Hol­ly­wood movie) are also well worth read­ing, but we per­haps ignore at our great­est per­il The Demon-Haunt­ed World: Sci­ence as a Can­dle in the Dark. Pub­lished in 1995, the year before Sagan’s death, it stands as his tes­ta­ment to the impor­tance of crit­i­cal, sci­en­tif­ic think­ing for all of us.

The Demon-Haunt­ed World is the sub­ject of the Genet­i­cal­ly Mod­i­fied Skep­tic video above, whose host Drew McCoy describes it as his favorite book. He pays spe­cial atten­tion to its chap­ter in which Sagan lays out what he calls his “baloney detec­tion kit.” This assem­bled metaphor­i­cal box of tools for diag­nos­ing fraud­u­lent argu­ments and con­struct­ing rea­soned ones involves these nine prin­ci­ples:

Wher­ev­er pos­si­ble there must be inde­pen­dent con­fir­ma­tion of the “facts.”

Encour­age sub­stan­tive debate on the evi­dence by knowl­edge­able pro­po­nents of all points of view.

Argu­ments from author­i­ty car­ry lit­tle weight — “author­i­ties” have made mis­takes in the past. They will do so again in the future. Per­haps a bet­ter way to say it is that in sci­ence there are no author­i­ties; at most, there are experts.

Spin more than one hypoth­e­sis. If there’s some­thing to be explained, think of all the dif­fer­ent ways in which it could be explained. Then think of tests by which you might sys­tem­at­i­cal­ly dis­prove each of the alter­na­tives.

Try not to get over­ly attached to a hypoth­e­sis just because it’s yours. It’s only a way sta­tion in the pur­suit of knowl­edge. Ask your­self why you like the idea. Com­pare it fair­ly with the alter­na­tives.

See if you can find rea­sons for reject­ing it. If you don’t, oth­ers will.

If what­ev­er it is you’re explain­ing has some mea­sure, some numer­i­cal quan­ti­ty attached to it, you’ll be much bet­ter able to dis­crim­i­nate among com­pet­ing hypothe­ses. What is vague and qual­i­ta­tive is open to many expla­na­tions.

If there’s a chain of argu­ment, every link in the chain must work (includ­ing the premise) — not just most of them.

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