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    Home»Personal Finance»Retirement»If You’re Never Wrong, You’re Not Trying Hard Enough
    Retirement

    If You’re Never Wrong, You’re Not Trying Hard Enough

    Money MechanicsBy Money MechanicsSeptember 14, 2025No Comments7 Mins Read
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    If You’re Never Wrong, You’re Not Trying Hard Enough
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    One of the wiser, more experienced financial advisors I have the pleasure of working with mentioned something to me this week that I had to stop and write down so that I could share it with you:

    “I like to be wrong, because that means I’m learning.”

    Dice form the expression 'sometimes you win' and 'sometimes you learn'.

    There’s an upside to being wrong.

    getty

    He substantiated his claim by telling me how he chooses to read books and articles, and listen to podcasts and interviews, that are in direct opposition to his current opinions, both to reinforce and challenge his thinking.

    If this sounds foreign to you, it’s because it doesn’t come naturally. We’re actually prone to quite the opposite of this behavior. You may have heard, for example, of the confirmation bias—the idea that we, as humans, tend to subconsciously seek information that will confirm the opinion we already hold, while filtering out that which might challenge our pre-existing positions.

    Why Are We So Afraid Of Being Wrong?

    We simply don’t like to be wrong. It threatens our credibility and creates a vulnerability within and exposes us to potential embarrassment without.

    It is important to note that most of our apparent human bugs are also, in some way, features. Even confirmation bias. For example, if all we did was go through our days questioning every assumption that has built itself into our worldviews, we’d suffer from analysis paralysis, and rarely do anything. So, perhaps the discipline to be applied here is the practice of regularly choosing to test our assumptions.

    Therefore, before we take a glance at four commonly held assumptions in the arena of personal finance that may be worth reconsidering, let’s offer a simple method for safely testing our assumptions that we can use in any area of life or work.

    The 3-Step Assumption Test

    1. Name It

    Identify and clearly state the assumption you’re making. “All Pittsburgh Steelers fans are annoying,” for example, may feel substantiated when you see someone in head-to-toe black and gold long after football season. 😊

    But unexamined assumptions like this often lead to poor thinking and bad decisions—and maybe even unnecessary arguments.

    • Status-quo bias is a powerful force that threatens to render us just another confirmatory voice in a one-dimensional echo chamber.

    2. Flip It

    Stress-test your assumption by asking: What if my assumption is wrong, either wholly or partially? What evidence supports or challenges the opposing belief?

    More seriously on this point, one example the “I like to be wrong” advisor gave me was his exploration of the work of Nietzsche, a philosopher whom he foreknew held firm beliefs that were in direct opposition to his well-established worldview. But he read him anyway, and while the foundation of his worldview didn’t crumble, he did pick up some new insights that he’d never have received if he rejected the writer’s influence completely.

    • This step counters confirmation and overconfidence biases; it makes us more malleable and adept thinkers and more approachable collaborators.

    3. Test It

    Run a small, low-stakes experiment to see how the assumption holds up in practice. Don’t allow your lightbulb moment to fall short of genuine illumination—put your revised assumption to the test.

    For example, my wife and I just explored a challenging notion related to marriage—that we each bring an (often) unspoken collection of hopes, dreams, and desires to any relationship, and that without even knowing it, those silent aspirations tend to manifest as an insurmountable wall of expectations that no partner could ever crest. We were invited to test this assumption simply by asking our spouse, “What is in your hopes, dreams, and desires ‘box’”?

    • The Bayesian updating theorem provides us with an actual formula for testing and updating prior assumptions based on new information…which is a fancy way of saying we should adjust our beliefs as new information comes in.

    Now let’s take this 3-step test for a spin in the world of personal finance, where a handful of common assumptions are worth putting under the microscope.

    (Re)Testing 4 Common Financial Planning Assumptions

    As we often do, we’ll use a fourfold mental model to navigate our way through the financial landscape:

    GROW

    Common Assumption: “The best investments are the ones with the highest past returns.”

    Supporting Biases: Recency bias and performance chasing tend to lead investors to simultaneously overweight recent returns and expect trends to continue.

    Sure, you’ve likely heard the disclaimer that “past performance is no indicator of future results,” but I still bet when you looked at your 401(k) options, you ran your finger all the way over to the right to prioritize the investments with the highest returns.

    And while past performance absolutely should be part of any thorough investment analysis, the fact remains that every individual stock, mutual fund, or ETF has its own set of goals—and they may be different from yours.

    PROTECT

    Common Assumption: “Insurance is wasted money if I don’t use it.”

    Supporting Biases: The theory of loss aversion, first enumerated by Daniel Kahneman, helps explain why we tend to experience the pain of paying insurance premiums more acutely than the (invisible) relief of avoiding a catastrophic loss.

    We’ve been trained, especially in the financial realm, to think about the ROI (Return On Investment) of everything we do, but this logic breaks down when considering insurance. While some insurance products do provide an ROI in various forms, the primary purpose of most insurance is to transfer risk—to not lose money, rather than to make it.

    For example, it’s true that only 2% of term life insurance policies ever pay claims—but that’s good news, friend, because it means you didn’t die!

    GIVE

    Common Assumption: “I’ll start giving once I’ve accumulated more.”

    Supporting Biases: Impact bias is the tendency to overestimate both the intensity and the duration of our emotional reactions to future events—positive or negative. In other words, we think outcomes will affect us more, and for longer, than they often do.

    One of the best lessons my father taught me was that “If you don’t start giving when the dollars are small, you’ll be even less likely to give when the dollars are bigger.” But the amazing—and truly confounding—thing about giving is that the benefits aren’t only for those who would label themselves “charitable” or “philanthropic,” and giving also tends to benefit the giver, just as it does the recipient.

    Dr. Daniel Crosby even goes so far as to suggest that “Giving Is The Path To Abundance.”

    LIVE

    Common Assumption: “Save now, live later.”

    Supporting Biases: Thanks to the present bias and our tendency toward hyperbolic discounting, we tend to discount the future heavily while paradoxically also deferring joy to “someday.”

    Some of the most prominent voices in personal finance sound like a broken record, elevating deferred gratification to one of the 10 Commandments. And while it’s absolutely true that we must discipline ourselves to invest in our future sustenance early and often, we must balance our dedication with another truism: Tomorrow is promised for none of us, and enjoyment in the present is no less of a moral imperative than saving for the future.

    Conclusion

    Everything within us prefers to be right. However, if you’re willing to name, flip, and test your assumptions, you’ll probably find yourself wrong more often than you’d like. But that’s also how we learn, and it’s how wealth—financial and otherwise—really grows.



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    behavioral finance confirmation bias financial advice financial planning impact bias loss aversion money assumptions Personal finance recency bias wealth management
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