Critical Thinking With Data

Published: Aug. 31, 2021, 3:04 a.m.

Critical thinking is hard. No, really. It takes patience, dedication, and a degree of humility that is hard to maintain. Some people think that if you think critically, you will automatically agree with them. Others think that critical thinking means uncritically rejecting whatever your parents and grandparents taught you. Neither will ever put it quite that way but if you pay close attention to what is said by some, those conclusions are hard to avoid. Not that you should take my word for it. If you were paying attention, you might have caught that I did a little bit of the first \u2013 assuming that people thinking critically will agree with me. See? It\u2019s hard to avoid the traps even when you\u2019re writing about them.\xa0

So, what really is critical thinking and how does one do it? Thinking critically means being willing to take the time to understand something as thoroughly as possible before reaching a strong conclusion about it. To be willing to take a look at different points of view and weigh them against each other. It\u2019s more complicated than hearing the two main sides of an issue and then assuming the truth is somewhere in the middle. It\u2019s more complicated because the truth may be in between, but how far is one side or the other? Or one side might be completely wrong. Or the truth might be something neither side has even considered. I told you this is hard.\xa0

How does one begin? As with a lot of things, mindset is everything. You need to realize that you will likely never know every single thing about any one thing. Aquinas once said humanity has yet to discern the essence of a single gnat. Nothing has changed in the eight centuries since he wrote that. We know more, but not everything. If that sounds depressing, it shouldn\u2019t. It means there is always more to learn.\xa0

Start small, with a subject that already interests you, and pick up a book that catches your eye. And yes, a real book if you can, something you can highlight and make notes in the margins. Don\u2019t try to power through and crush out the page count. Save that kind of reading for fiction. Yes, there are different kinds of reading. That fact and much of the method I\u2019m about to lay out are in How to Read a Book by Mortimer Adler.

In any case, take your time and read through it, making notes as you go. Pay attention to others the author cites and get their books, and do the same with them. With each book, take the time to learn the author\u2019s voice, how he thinks, what his own presuppositions seem to be. Then be willing to correct your conclusions when you realize you got something wrong. Don\u2019t forget to pick up one or more works that contradict the author, whether he cites them or not. Every now and then the lone voice crying in the wilderness is saying something you should be paying attention to. Remember, it was once the consensus in certain circles that no planets existed outside the solar system, or that eugenics makes total sense and you should totally cure people by cutting them so the evil humor could escape. It\u2019s usually worth listening to the person challenging the consensus. Even if he proves to be off his rocker, just kicking the apple cart can get some new and productive thoughts going.\xa0

Doing all of that will actually just get you started thinking truly critically. After taking in all that data, you need to sift and weigh it, looking up additional information to fill in holes you\u2019ll find as you go along.\xa0

All data analysis needs to be approached with a similar level of patience and humility. How many companies when they collect marketing data run it through different analytical models to see if they line up? Or have multiple people look at the data? How many organizations have people whose whole job is to check different analyses against each other to see if it all adds up? The answer is sadly few.

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Tcast is brought to you by TARTLE. A global personal data marketplace that allows users to sell their personal information anonymously when they want to, while allowing buyers to access clean ready to analyze data sets on digital identities from all across the globe.

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