Latest / Marketing Psychology with Fexingo: Behavioral Triggers, Persuasion, and Consumer Behavior / The Hindsight Bias How It Warps Your Marketing Decisions
Transcript
- Lucas: So we've all been in a meeting where someone looks back at a campaign that flopped and says, 'Yeah, I saw that coming.' Luna: Every single time. And usually the same person who approved the campaign in the first place, right? Lucas: Exactly. That 'I knew it all along' feeling — it's so pervasive in marketing that psychologists gave it a name: the hindsight bias. Also called the 'knew-it-all-along effect.' And it's not just annoying, it's actively dangerous for how we make decisions. Luna: Dangerous how? Like, we second-guess ourselves less? Lucas: Worse. We second-guess ourselves in a way that makes us overconfident in our ability to predict the future. So we take more risks, we underinvest in preparedness, and we blame the wrong people when things go wrong. The hindsight bias essentially rewrites your memory so that the outcome seems inevitable — even when it wasn't. Lucas: If these marketing conversations have sparked something you've actually used — maybe a pricing tweak or a messaging shift — that's exactly why we keep this show ad-free. We don't run commercials, no sponsored segments. If you find value in that and want to support it, the link is buy me a coffee dot com slash fexingo. No pressure, just a way to keep it independent. Luna: Yeah, I love that we can talk about this stuff without having to plug some CRM tool mid-sentence. Feels cleaner. Lucas: Totally. So back to hindsight bias. The classic experiment was done by the psychologist Baruch Fischhoff in 1975. He gave participants a description of the 19th-century British-Gurkha war — a real historical event — and told some people the actual outcome, others a different outcome. Then he asked them, 'If you hadn't been told the outcome, what probability would you have assigned to each possible result?' Luna: And people who knew the real outcome claimed they would have assigned a higher probability to it. Even though they were told it was hypothetical. Lucas: Yes. They couldn't un-know it. Their judgment was completely contaminated by hindsight. And Fischhoff replicated this over and over. Once you know an outcome, you reconstruct your prior beliefs to align with it. Your brain basically smooths over the uncertainty that was actually there. Luna: So what does that look like in a marketing context? Give me a concrete example. Lucas: New Coke. The 1985 launch. In retrospect, everyone says, 'What were they thinking? Changing the formula of the world's most popular soft drink?' But at the time, Coke had been losing market share to Pepsi for over a decade. Pepsi's 'Pepsi Challenge' blind taste tests consistently showed people preferred Pepsi's sweeter taste. Coke's own internal data said a new formula tested well. The decision was rational given what they knew. Luna: But after the backlash, everyone acted like it was obvious it would fail. The hindsight bias made the executives look clueless, when really they were just taking a calculated risk. Lucas: Exactly. And the bias is insidious because it affects how we evaluate our own past decisions. If a campaign beats its KPI by 20 percent, we say 'Of course, our strategy was brilliant.' If it misses, we say 'Well, that was a long shot anyway.' We never actually update our mental model — we just cherry-pick the narrative that makes us look smart. Luna: Which means we don't learn from either success or failure. We just pat ourselves on the back or shrug it off. Lucas: Right. And that's the real cost. When you can't accurately reconstruct your prior uncertainty, you can't calibrate your decision-making process. You might stop running smart experiments because your post-mortem convinced you they were doomed from the start. Or you might double down on a lucky gamble because hindsight made it seem like a sure thing. Luna: So what's the fix? How do you de-bias a marketing team that meets every Monday with a PowerPoint of last week's results? Lucas: The most effective tool is the pre-mortem. Before a campaign launches, get the team to write down exactly what they expect to happen — and also what could go wrong. Have them assign probabilities to different scenarios. Then lock that document away. When the campaign ends, you pull it out and compare it to what actually happened. That external record is your only defense against memory rewriting. Luna: So it's like an honest journal for your predictions. Do companies actually do this? Lucas: Some do. Amazon's 'narrative memos' for new initiatives include a section on 'what we expect to learn' — and six months later they review it. Bridgewater Associates, Ray Dalio's hedge fund, has a 'believability-weighted decision log' where every major call is recorded and later rated. But most companies don't bother. They just run the post-mortem from memory, and hindsight bias does its work. Luna: And the problem is that a post-mortem from memory is basically a fiction. You're trying to reconstruct the uncertainty you felt, but you already know the ending. Lucas: Exactly. Fischhoff called it 'creeping determinism' — the sense that the outcome was inevitable all along. And it's worse when the outcome is extreme. A blowout success or a catastrophic failure amplifies the bias. Moderate results are easier to analyze honestly because there's less emotional gravity. Luna: So maybe the most dangerous time to make a big decision is right after a huge win or a huge loss, because your hindsight bias is at its peak. Lucas: That's a great insight. After a win, you're overconfident that your strategy was proven right, so you might double down on a risky tactic. After a loss, you might overcorrect and abandon something that was actually sound but unlucky. The pre-mortem gives you a baseline of your actual reasoning. Luna: What about the opposite — like, people who never admit they saw it coming? Is there a reverse hindsight bias? Lucas: There is something called the 'curse of knowledge' — once you know something, you can't imagine not knowing it. That's related but distinct. Hindsight bias is specifically about reinterpreting past predictions. The curse of knowledge is about assuming others share your current understanding. Both make communication harder. Luna: Right. So for a marketer, the practical step is: before your next campaign launches, write down your forecast. And not just 'we'll beat last quarter by 10 percent' — but why? What assumptions are you making about the market, the creative, the channel? Lucas: Yes. And also write down your confidence level. 'I'm 70 percent sure we'll hit a 5 percent conversion rate' versus 'I'm 90 percent sure.' Then when the results come in, you can see if your calibration was accurate. Most people are overconfident — they think they're 90 percent sure when they should be 70 percent. Luna: That's a whole other bias — overconfidence. But combined with hindsight bias, it's a double whammy. You're overconfident going in, and then hindsight makes you think you were even more confident than you were. Lucas: Exactly. And that cycle can lead to a culture where people are afraid to take smart risks. Because if a risk fails, hindsight will make it look like a stupid gamble. So everyone plays it safe, and you miss out on breakthroughs. Luna: So the pre-mortem also serves a cultural function — it creates psychological safety for experimentation. You can say, 'Look, I wrote down that this was a 60-40 bet. It didn't pay off, but we still learned from it.' Lucas: Exactly. And that's the healthiest environment for marketing innovation. Which brings me to another tool: keep a 'decision journal' that captures your thinking before you see the outcome. It doesn't have to be long — just a few sentences per major campaign. Review it quarterly. You'll be shocked at how much your memory has distorted reality. Luna: I want to try that. Because I definitely catch myself saying 'I knew that wouldn't work' about things I actually approved. It's embarrassing. Lucas: We all do it. The key is not to eliminate the bias — you can't. It's hardwired. But you can build systems that compensate for it. The pre-mortem, the decision journal, and the discipline of revisiting your assumptions before you know the outcome. Luna: One more thing — does the hindsight bias also affect how we interpret customer data? Like, if a customer says they always preferred a certain feature, but the data shows they actually used a different one? Lucas: Absolutely. That's a variant called 'hindsight bias in survey research.' When you ask customers to recall their preferences before a change, they systematically adjust their memory to align with their current experience. So if you launch a redesign and then ask customers if they liked the old version, they'll say they liked it less than they actually did — or more, depending on how the new version went. Luna: So even customer feedback is contaminated by hindsight. That makes it even harder to know what actually drove past behavior. Lucas: Exactly. That's why behavioral data — what people actually did — is more reliable than attitudinal data about what they remember thinking. The best marketing teams triangulate: they use experiments, clickstream data, and controlled tests, not just post-hoc surveys. Luna: Alright, so practical action item for everyone listening: before your next big campaign, write down your predictions and your confidence. Then lock it in a drawer. Lucas: And when the results come in, resist the urge to say 'I knew it all along.' Pull out that document and see what you actually thought. That's the only way to learn. Luna: I'm going to start doing that next week. Maybe I'll even be humbled. Lucas: That's the goal. Hindsight bias is a comfortable trap. The uncomfortable truth is that we're worse at predicting than we think — and that's okay as long as we keep a record of our guesses.