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Critical Thinking Through the Ages
As I’m teaching a course on critical thinking, I thought it would be useful to study the history of the concept. What have leading thinkers of the past conceived to be “critical thinking” and how have their perceptions changed over time?
One of the earliest — and most interesting –references that I’ve found is a sermon called the Kalama Sutta preached by the Buddha some five centuries before Christ. Often known as the “charter of free inquiry”, it lays out general tenets for discerning what is true.
Many religions hold that truth is revealed through scriptures or through institutions that are authorized to interpret scriptures. By contrast, Buddhism generally asserts that we have to ascertain truth for ourselves. So, how do we do that?
That was essentially the question that the Kalama people asked the Buddha when he passed through their village of Kesaputta. The Buddha’s sermon emphasizes the need to question statements asserted to be true. Further, the Buddha goes on to list multiple sources of error and cautions us to carefully examine assertions from those sources. According to Wikipedia, the Buddha identified the following sources of error:
- Oral histories
- Tradition
- New sources
- Scripture or other official documents
- Supposition
- Dogmatism
- Common sense
- Opinion
- Experts
- Authorities or one’s own teacher
Further, “Do not accept any doctrine from reverence, but first try it as gold is tried by fire.” The requires examination, reflection, and questioning and only that which is “conducive to the good” should be accepted as truth.
As Thanissaro Bhikkhu summarizes it, “any view or belief must be tested by the results it yields when put into practice; and — to guard against the possibility of any bias or limitations in one’s understanding of those results — they must further be checked against the experience of people who are wise.”
So how do the Buddhist commentaries compare to other philosophers? In the century after Buddha, Socrates is quoted as saying, “I know you won’t believe me, but the highest form of Human Excellence is to question oneself and others.” Almost 2,000 years later, Francis Bacon wrote, “Critical thinking is a desire to seek, patience to doubt, fondness to meditate, slowness to assert, readiness to consider, carefulness to dispose and set in order; and hatred for every kind of imposture.” A few hundred years later, Descartes wrote, “If you would be a real seeker after truth, it is necessary that at least once in your life you doubt, as far as possible, all things.” A hundred years after that, Voltaire wrote about the consequences of a failure of critical thinking, “Anyone who has the power to make you believe absurdities has the power to make you commit injustices.”
As the Swedes would say, there seems to be a “bright red thread” that ties all of these together. Go slowly. Ask questions. Be patient. Doubt your sources. Consider your own experience. Judge the evidence thoughtfully. For well over 2,000 years our philosophers — both Eastern and Western — have been saying essentially the same thing. It seems that we know what to do. Now all we have to do is to do it.
Librarian, Farmer, Debacle
It’s a quality issue.
In his book, Thinking Fast and Slow, Daniel Kahneman has an interesting example of a heuristic bias. Read the description, then answer the question.
Steve is very shy and withdrawn, invariably helpful but with little interest in people or in the world of reality. A meek and tidy soul, he has a need for order and structure, and a passion for detail.
Is Steve more likely to be a librarian or a farmer?
I used this example in my critical thinking class the other night. About two-thirds of the students guessed that Steve is a librarian; one-third said he’s a farmer. As we debated Steve’s profession, the class focused exclusively on the information in the simple description.
Kahneman’s example illustrates two problems with the rules of thumb (heuristics) that are often associated with our System 1 thinking. The first is simply stereotyping. The description fits our widely held stereotype of male librarians. It’s easy to conclude that Steve fits the stereotype. Therefore, he must be a librarian.
The second problem is more subtle — what evidence do we use to draw a conclusion? In the class, no one asked for additional information. (This is partially because I encouraged them to reach a decision quickly. They did what their teacher asked them to do. Not always a good idea.) Rather they used the information that was available. This is often known as the availability bias — we make a decision based on the information that’s readily available to us. As it happens, male farmers in the United States outnumber male librarians by a ratio of about 20 to 1. If my students had asked about this, they might have concluded that Steve is probably a farmer — statistically at least.
The availability bias can get you into big trouble in business. To illustrate, I’ll draw on an example (somewhat paraphrased) from Paul Nutt’s book, Why Decisions Fail.
Peca Products is locked in a fierce competitive battle with its archrival, Frangro Enterprises. Peca has lost 4% market share over the past three quarters. Frangro has added 4% in the same period. A board member at Peca — a seasoned and respected business veteran — grows alarmed and concludes that Peca has a quality problem. She sends memos to the executive team saying, “We have to solve our quality problem and we have to do it now!” The executive team starts chasing down the quality issues.
The Peca Products executive team is falling into the availability trap. Because someone who is known to be smart and savvy and experienced says the company has a quality problem, the executives believe that the company has a quality problem. But what if it’s a customer service problem? Or a logistics problem? Peca’s executives may well be solving exactly the wrong problem. No one stopped to ask for additional information. Rather, they relied on the available information. After all, it came from a trusted source.
So, what to do? The first thing to remember in making any significant decision is to ask questions. It’s not enough to ask questions about the information you have. You also need to seek out additional information. Questioning also allows you to challenge a superior in a politically acceptable manner. Rather than saying “you’re wrong!” (and maybe getting fired), you can ask, “Why do you think that? What leads you to believe that we have a quality problem?” Proverbs says that “a gentle answer turneth away wrath”. So does an insightful question.
The Last of Thumb Thinking
Sure it’s dangerous. But we’re in control. No problem!
Heuristics are simply rules of thumb. They help us make decisions quickly and, in most cases, accurately. They help guide us through the day. Most often, we’re not even aware that we’re making decisions. Unfortunately, some of those decisions can go haywire — precisely because we’re operating on automatic pilot. In fact, psychologists suggest that we commonly make 17 errors via heuristics. I’ve surveyed 11 of them in previous posts (click here, here, and here). Let’s look at the last six today.
Optimistic bias — can get us into a lot of trouble. It leads us to conclude that we have much more control over dangerous situations than we actually do. We underestimate our risks. This can help us when we’re starting a new company; if we knew the real odds, we might never try. It can hurt us, however, when we’re trying to estimate the danger of cliff diving.
Hindsight bias — can also get us into trouble. Everything we did that was successful is by dint of our own hard work, talent, and skill. Everything we did that was unsuccessful was because of bad luck or someone else’s failures. Overconfidence, anyone?
Elimination by aspect — you’re considering multiple options and drop one of them because of a single issue. Often called, the “one-strike-and-you’re-out” heuristic. I think of it as the opposite of satsificing. With satsificing, you jump on the first solution that comes along. With elimination by aspect, you drop an option at the first sign of a problem. Either way, you’re making decisions too quickly.
Anchoring with adjustment — I call this the “first-impressions-never-die” heuristic and I worry about it when I’m grading papers. Let’s say I give Harry a C on his first paper. That becomes an anchor point. When his second paper arrives, I run the risk of simply adjusting upward or downward from the anchor point. If the second paper is outstanding, I might just conclude that it’s a fluke. But it’s equally logical to assume that the first paper was a fluke while the second paper is more typical of Harry’s work. Time to weigh anchor.
Stereotyping — we all know this one: to judge an entire group based on a single instance. I got in an accident and a student from the University of Denver went out of her way to help me out. Therefore, all University of Denver students must be altruistic and helpful. Or the flip side: I had a bad experience with Delta Airlines, therefore, I’ll never fly Delta again. It seems to me that we make more negative stereotyping mistakes than positive ones.
All or Nothing — the risk of something happening is fairly low. In fact, it’s so low that we don’t have to account for it in our planning. It’s probably not going to happen. We don’t need to prepare for that eventuality. When I cross the street, there’s a very low probability that I’ll get hit by a car. So why bother to look both ways?
As with my other posts on heuristics and systematics biases, I relied heavily on Peter Facione’s book, Think Critically, to prepare this post. You can find it here.
The Anatomy of Debacles
I was satisficing. If only I had known.
What’s a debacle? According to Paul Nutt, it’s “…merely a botched decision that attracts attention and gets a public airing.” Nutt goes on to write that his “…research shows that half of the decisions made in business and related organizations fail.” Actually, it may be higher because, “failed decisions that avoid a public airing are apt to be covered up.”
Remember that I wrote not long ago (click here) that perhaps 70% of change management efforts fail? Now we learn that half — or more — of all business decisions fail. We’re not doing so well. Nutt has studied over 400 debacles — botched decisions that became public disasters — and has created an anatomy of why and how they happen. Nutt’s book, Why Decisions Fail, is a sobering look at how we manage our organizations and, more specifically, our decisions.
Critical thinking should help us avoid botched decisions and public debacles. I’ll be writing about critical thinking over the next several months and, from time to time, will pull ideas from Nutt’s book. Today, let’s set the stage by looking at the basics. Nutt writes that blunders happen because of three broad reasons:
- Failure-prone practices — Nutt claims that two-thirds of business decisions are arrived at via common practices that are known to fail. One of our problems is that we typically don’t analyze the decision-making process itself. We tend to ask, “how can we correct the problem?” rather than “how did our decision-making process lead us astray?” As an example, Nutt notes that “Nearly everyone knows that participation prompts acceptance, but participation is rarely used.”
- Premature commitments — Nutt writes that “Decision makers often jump at the first idea that comes along and then spend years trying to make it work.” In the vocabulary of critical thinking, this is known as satisficing or temporizing — two heuristics that can lead us astray. Nutt concludes that, “A rush to judgment is seductive and deadly and can be headed off.” I’ll write more on how to head it off in future articles.
- Wrong-headed investments — the basic problem here is that we spends lots of time, energy, and money to demonstrate that our decision is correct and the ideas behind it are sound. We call it an evaluation but really, it’s a justification. It’s better to invest our energy in clarifying objectives, discovering issues (and opportunities), and identifying measures of risk and benefit.
Nutt also criticizes contingency theory — the idea that your situation dictates your tactics. For instance, if you’re faced with a community boycott, you should do X; if you’re faced with cost overruns, you should do Y. Nutt concludes that, “Best practices can be followed regardless of the decision to be made or the circumstances surrounding it.” The bulk of his book outlines what those best practices are.
Of course, there’s a lot more to it. I’ll outline the highlights in future posts and put Nutt’s findings in the general context of critical thinking. I hope you’ll follow along. In the meantime, don’t make any premature commitments.
More Thinking on Your Thumbs
Power differential.
Remember heuristics? They’re the rules of thumb that allow us to make snap judgments, using System 1, our fast, automatic, and ever-on thinking system. They can also lead us into errors. According to psychologists there are least 17 errors that we commonly make. In previous articles, I’ve written about seven of them (click here and here). Let’s look at four more today.
Association — word association games are a lot of fun. (Actually, words are a lot of fun). But making associations and then drawing conclusions from them can get you into trouble. You say tomato and I think of the time I ate a tomato salad and got sick. I’m not going to do that again. That’s not good hygiene or good logic. The upside is that word associations can lead you to some creative thinking. You can make connections that you might otherwise have missed. And, as we all know, connections are the foundation of innovation. Just be careful about drawing conclusions.
Power differential — did you ever work for a boss with a powerful personality? Then you know something about this heuristic. Socially and politically, it may be easier to accept an argument made by a “superior authority” than it is to oppose it. It’s natural. We tend to defer to those who have more power or prestige than we do. Indeed, there’s an upside here as well. It’s called group harmony. Sometimes you do need to accept your spouse’s preferences even if they differ from yours. The trick is to recognize when preferences are merely a matter of taste versus preferences that can have significant negative results. As Thomas Jefferson said, “On matters of style, swim with the current. On matters of principle, stand like a rock”.
Illusion of control — how much control do you really have over processes and people at your office? It’s probably a lot less than you think. I’ve worked with executives who think they’ve solved a problem just because they’ve given one good speech. A good speech can help but it’s usually just one step in a long chain of activities. Here’s a tip for spotting other people who have an illusion of control. They say I much more often than we. It’s poor communication and one of the worst mistakes you can make in a job interview. (Click here for more).
Loss and risk aversion — let’s just keep doing what we’re doing. Let’s not change things … we might be worse off. Why take risks? It happens that risk aversion has a much bigger influence on economic decisions than we once thought. In Thinking Fast and Slow, Daniel Kahneman writes about our unbalanced logic when considering gain versus loss — we fear loss more than we’re attracted by gain. In general terms, the pain of a loss is about double the pleasure of a gain. So, emotionally, it takes a $200 gain to balance a $100 loss. Making 2-to-1 decisions may be good for your nerves but it often means that you’ll pass up good economic opportunities.
To prepare this article, I drew primarily on Peter Facione’s Think Critically. (Click here) Daniel Kahneman’s book is here.
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