77 pages • 2 hours read
Adam GrantA modern alternative to SparkNotes and CliffsNotes, SuperSummary offers high-quality Study Guides with detailed chapter summaries and analysis of major themes, characters, and more. For select classroom titles, we also provide Teaching Guides with discussion and quiz questions to prompt student engagement.
At the Difficult Conversations Lab in New York at Columbia University, psychologist Peter T. Coleman pairs strangers with diametrically opposed opinions on controversial topics together for a conversation and studies what works and what doesn’t. Before they begin, each participant reads a version of an article on gun control. Coleman has found that if participants read articles that make a case for either side of an issue, they have a roughly 46% chance of reaching a consensus on their controversial topic. However, if they read a version which frames gun control as a complex problem with shades of grey, 100% of participants are able to find common ground (164).
Society is commonly understood to be increasingly polarized, and Grant argues that it isn’t enough just to see the other side. Showing people “two extremes isn’t the solution; it’s part of the polarization problem” (164), contributing to binary bias. He believes that instead, we often need to complexify a problem by showing a range of positions on a given topic.
A key lesson of desirability bias “is that our beliefs are shaped by our motivations. What we believe depends on what we want to believe” (167). For example, in the United States, belief in climate change has remained roughly the same over the last 20 years in part because it is a political issue—those who identify as conservative are less likely to believe in human-driven climate change, even with more evidence of its existence (168).
Grant also points to binary bias as an explanation. Belief in climate change, he writes, is typically framed as a dispute between those who believe in it and those who don’t; however, research suggests that it’s more accurate to split people into six different groups based not only on belief, but on strength of and reasoning for that belief. Grant specifically distinguishes between skeptics and deniers, noting that while deniers are prosecutors, preachers, or politicians, skeptics think more like scientists and simply aren’t prepared to believe everything they read. In fact, despite the framing of the issue in the media, only about 10% of people in the US are fully dismissive of climate change.
Grant proposes that complexity should be understood “as a signal of credibility” (171). According to him, research shows that acknowledging uncertainty and expressing doubt makes people seem more credible, not less. Unfortunately, nuance is not as attention-grabbing, so media outlets tend to write headlines that present issues in binary terms, even if doing so misleads the audience.
One recommendation Grant offers is to discuss issues like a scientist. For example, scientific research tends to include notes on holes in their work and limitations in their studies, viewing these as opportunities for future work rather than disadvantages. However, when scientists present their work to the public, these tend to be glossed over. Likewise, including contingencies in the discussion helps to frame the complexity of an issue in ways that are more realistic and accurate. For example, discussions about emotional intelligence (EQ) tend to use extremes, i.e., either it’s very important or it doesn’t exist. The reality, Grant writes, is somewhere in between.
In the end, Grant argues that it isn’t enough to simply try to put ourselves into another’s shoes because we frequently don’t understand their perspectives. Instead of perspective taking, he claims, we should focus on perspective seeking to get a sense of the nuance of others’ positions. In Coleman’s lab, unsuccessful conversations tend to be emotionally simple; successful conversations, on the other hand, tend to be much more complex. As with issues, we succumb to emotional binary bias, but Grant argues that we’d be better served by recognizing that our emotions can be complex, and even conflicting, on difficult topics. However, recognizing this puts us on the path to rethinking.
As a middle school social studies teacher, Erin McCarthy frequently assigns readings from old history books she collects. Her goal is for her students to spot inaccuracies in textbooks from decades ago—she found that her students were conditioned to believe that everything in textbooks is correct, but the exercise pushes her students to think like scientists and question what they are learning, instead. As a final project, she asks her students to choose a period they see as underrepresented in the textbook, then research and rewrite that section of the book.
Grant writes that he wishes he had been able to discover interesting things for himself rather than being taught them in school. However, he notes that aside from being impractical, research shows that the longer we wait to address false scientific beliefs, the more ingrained they become. To counteract this, he believes that kids need to learn how to learn, as well as to learn how to unlearn.
In history education, he writes, there is an increasing emphasis on asking open-ended questions rather than focusing solely on facts. The “focus is less on being right, and more on building the skills to consider different views” (189). This doesn’t mean that anything goes, however. The goal is to get kids to think like fact-checkers, evaluating different evidence and claims to arrive at the truth.
This kind of approach is known as active learning, but Grant claims that the efficacy of active learning versus passive, lecture-based education is more complicated than one might expect. Courses and instructors are typically rated better if they are primarily delivered via lecture, and Grant notes that this shouldn’t be surprising given the popularity of YouTube, TED Talks, etc. However, research suggests that students learn more through active learning. It’s less enjoyable because it’s more difficult, but it is nevertheless more effective.
To demonstrate how we can incorporate rethinking into teaching, Grant describes the philosopher Robert Nozick, who taught a new class every year. Rather than lecturing on topics he already knew well, he chose to do his thinking through his instruction, demonstrating the work of academic philosophy in the process. “[H]e wasn’t content for students to learn from him,” Grant writes, but “wanted them to learn with him” (194).
Grant tries to incorporate a softer version of this in his own courses, in part by asking students in an upper-level course to challenge conventional wisdom in some way. He was surprised to discover that the top students were the ones most likely to struggle with the assignment. For Grant, this reinforces literature suggesting that being a top performer in school doesn’t necessarily translate to career success—on the contrary, top students are good at working within systems, but not as good at thinking against the grain.
A name that consistently comes up in Grant’s research into education pioneers is Ron Berger, a Massachusetts elementary school teacher. In addition to being a teacher, Berger is an excellent craftsman, and he brings his love of craftsmanship into the classroom, giving his students problems to grapple with throughout the semester in think-pair-share groups. With difficult problems, they often feel confused at first; however, research suggests that students need time to sit with their confusion, and Berger reinforces this by embracing confusion, allowing his students to surpass others’ expectations.
Grant concludes the chapter by arguing that while “good teachers introduce new thoughts […] great teachers introduce new ways of thinking” (203).
In 2013, astronaut Luca Parmitano nearly drowned while on a spacewalk due to an equipment malfunction that leaked water into his helmet. After investigating, NASA realized that they had normalized the expectation that astronauts’ drink bags leak, and that small amounts of water in their helmets are to be expected; as a result, they failed to recognize the malfunction when it had first begun a week earlier.
Grant notes that this had been a pattern at NASA. For example, the 1986 Challenger explosion was the result of “a catastrophically shallow analysis” of the potential failure of O-rings (206). Likewise, in 2003, the shuttle Columbia disintegrated upon reentry after the ground team had assumed that an issue which turned out to be critical was nothing to worry about. Grant argues that this failure to rethink was due to NASA’s performance culture: “excellence of execution was the paramount value” (207), and so employees were less likely to voice concerns or dissent. He contrasts this with learning cultures, “where growth is the core value and rethinking cycles are routine” (208).
Some time ago, Amy Edmonson was surprised to learn through her research that the more psychological safety medical staff at a hospital felt, the higher its error rates; she concluded that psychological safety breeds complacency. However, she later realized that a limitation of the study was that the errors were self-reported, so she ran another study which corrected for this. In the new study, she found that psychologically safe teams reported more errors but in fact made fewer errors. The real conclusion was that in psychologically safe teams, team members felt more comfortable admitting their mistakes, and were therefore able to learn from them.
Edmonson argues that psychological safety isn’t just about making people comfortable—rather, it’s about “fostering a climate of respect, trust, and openness in which people can raise concerns and suggestions” (209). This is representative of learning cultures. In contrast, performance cultures undermine psychological safety by emphasizing results first; this in turn discourages team members from raising questions or concerns.
Due to the performance culture at NASA, Grant notes, issues which later turned out to be critical had been raised by engineers; however, they were either ignored or silenced by management. Following the Columbia disaster, Deputy Director of Flight Crew Operations Ellen Ochoa realized that performance culture was hurting NASA. She began implementing changes, beginning with herself, to promote a learning culture instead. The biggest change that might have prevented both issues would have been simply asking engineers how they knew what the issue was. Grant argues that it’s a question we should try to ask ourselves more often, as well.
In Grant’s research, he has found that asking for constructive criticism works best when managers first share past experiences with receiving feedback; this sends the message to their team members that they are actually open to receiving constructive criticism. When tasked with improving psychological safety at the Gates Foundation, Grant took this a step further and devised a team-building exercise based on Jimmy Kimmel’s “Mean Tweets” segments, in which executives, including Melinda Gates, would read complaints about them and react to them. As a result, she and other executives were humanized, which led employees to come away with a stronger learning orientation.
Grant cautions that erasing the fear of challenging authority is not the same as motivating people to question authority or creating accountability. At NASA, people were held accountable for outcomes; they were discouraged from anything that would delay launches, which led them to rely on best practices that weren’t questioned. Grant suggests that we not only strive for outcome accountability, but also process accountability by evaluating how we make decisions along the way. Edmondson’s research suggests that we need both accountability and safety to create a learning zone—either one without the other keeps people silent.
If the outcome of a decision is good but the process was shallow, Grant argues, it wasn’t success but luck. On the other hand, if the process was deep, then you can conclude that you’ve found a better practice; likewise, if the outcome was bad but the process was deep, then “you’ve run a smart experiment” (219).
At NASA, in the old performance culture, the responsibility was on dissenters to prove that their concerns were valid. Under Ochoa, though, the responsibility was shifted onto the rest of the team to prove that the dissenters’ concerns weren’t valid. This required more humility and more rethinking, and certainly more caution, but also more confidence and certainty.
While Part 1 focuses on the self, and Part 2 focuses on interpersonal conflict and smaller groups, Part 3—the last full section of the book—focuses on what Grant’s ideas mean for society more broadly. In particular, Grant is concerned with a few overarching questions: First, how can we reduce polarization in society in order to resolve controversial issues? Second, how can we make rethinking cycles a more common part of society? And finally, how can we break from tradition at an organizational or societal level in order to promote change and progress?
Rethinking factors into each area of focus, not only in Grant’s recommendations but also in his own approaches. For example, while Chapter 8 focuses on the increasing polarization of society in the time of the internet, Grant acknowledges that his initial impulse to simply expose people to opposing views—a commonly held belief that argues that we just need to burst our information bubbles—seems likely to be incorrect. The issue is like the one covered in the preceding sections. If we think that an issue has just two sides, our identity becomes wrapped up in one of those two positions (e.g., pro-life versus pro-choice; pro- and anti-gun control), with the added wrinkle in the United States that these issues have become highly political issues wrapped up in our identification with political parties.
Addressing nuance doesn’t just show that controversial issues have more gray area than people may initially believe. It also leaves more room for us to acknowledge differing opinions while maintaining our complex identities. This is like Arnaud Gagneur’s approach to vaccine hesitancy. Rather than framing it as binary issue, Gagneur acknowledges that the question is complex and the debate filled with confusing information, which leaves vaccine hesitant people more wiggle room to sort through their feelings.
Likewise, Grant argues through Chapters 9 and 10 that in order to incorporate rethinking in our society, we need to make the ability and desire to learn in particular ways a more fundamental part of our culture from the start. Chapter 9 explains how we can do this in education through active learning approaches. However, although active learning has been a part of education theory for some time, an important takeaway from this chapter is that we still tend to separate the learner from the knower, which creates a hierarchy of information that’s hard for students to question. The educators that Grant highlights take active learning to another level in that they make learning a fundamental, visible part of their own identities, for example Robert Nozick, who structures his courses so he’s learning along with his students, or Erin McCarthy, who asks students to rewrite their own textbooks. This collapses that hierarchy and reinforces the principle that we’re always learning from one another and that there’s always more to learn. The professor might be an expert, but they can also signal that they are willing to keep learning. Learning becomes a collaborative process, then, rather than an individual one.
Grant applies these principles to work environments outside of education in Chapter 10 in which he contrasts performance cultures with learning cultures. A key problem with performance cultures is that they’re discouragingly hierarchical as well as outcomes based. Those who aren’t at the top don’t feel as if they’re part of a collaborative effort toward success, and they’re not rewarded for anything but loyalty and outcomes, regardless of how they achieve those outcomes. Learning cultures, on the other hand, value a process-oriented approach—not necessarily one in which there are no hierarchies but in which hierarchies are less pronounced, and common ground is emphasized.
In other words, in learning cultures, leadership and team members all recognize that they’re aiming for a common goal, and so they’re invested not only in the outcome but in finding the best route to get there—even if it means acknowledging that they were wrong at some point. To that same end, learning cultures don’t necessarily adhere to the established way of doing things as they recognize those best practices can change over time. While performance cultures root their identities in established methods, learning cultures separate their identity from their methods and recognize that those methods can, and should, change over time.
By Adam Grant
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