Beginner Mind Wins
Pardeep Singh
| 04-02-2026
· News team
Hey Lykkers, let’s be honest for a second. How many times have you stared at a complex financial model—dozens of tabs, intricate formulas, layers of assumptions—and thought, “This looks solid”? You and your team built it. You’ve lived with it for months. You know its logic inside and out.
But what if the person most likely to find its critical flaw is the one who doesn’t know a SUMIF from a VLOOKUP yet? What if your secret tool is the newest hire in the room?
This isn’t about inexperience. It’s about the power of the “Beginner’s Mind.” It’s the ability to look at a problem without the baggage of “how we’ve always done it,” free from the unconscious assumptions that seasoned experts stop even seeing. Fresh eyes aren’t just nice to have—they’re a strategic necessity.

The Expert's Blind Spot: The Curse of Knowledge

When you’re deep in a financial model, you become its author. You know the story it’s trying to tell. This creates a cognitive blind spot often described as the “curse of knowledge.” It becomes hard to see what you’re not explaining, what logic you’ve accepted without question, or where a formula might be elegantly wrong.
In practice, experience can lock teams into familiar patterns: you remember why you built a worksheet a certain way, so you stop seeing how fragile that logic looks to anyone outside the build process. That’s exactly why beginners—unburdened by history—ask the naïve questions that reveal weak assumptions and unclear cause-and-effect.

What the Beginner Sees (That You Don't)

Their value isn’t in technical mastery (yet). It’s in their perspective:
1. They Question the “Obviously True” Assumptions: Why do we assume a 3% annual growth rate here? Why is this cost fixed? Experts often accept these as givens. A beginner treats nothing as unquestionable.
2. They Notice the “Glossed-Over” Complexity: A veteran might skip past a convoluted cell with a mental note that “it works.” A beginner will point at it and ask, “Can you walk me through this? I don’t get how this input affects that output.” In explaining it, you might find the break in logic.
3. They Focus on Clarity, Not Cleverness: Experts may love elegant, compact formulas. A beginner needs the story to be clear. If they can’t follow it, chances are a key stakeholder won’t either. As a reminder that usefulness matters more than perfection, George E. P. Box, a statistician, writes, “Essentially, all models are wrong, but some are useful.”

How to Harness the Beginner’s Mind (Without Chaos)

You can’t just throw a new grad at a billion-dollar model and say, “Find the errors.” You have to structure their involvement.
- The “Explain It to Me” Session: Make it a formal step. Before a model is finalized, have its lead explain it to the newest team member from scratch. Mandate that the beginner interrupts at every confusion point.
- Assign the “Assumption Audit”: Give the beginner one job: list every single assumption they see in plain language. This document alone often reveals contradictions or unsupported leaps.
- Pair Them with a Patient Expert: Create a mentorship dynamic for the review. The expert gains a fresh perspective; the beginner gets a masterclass in modeling.

What This Means for You, Lykkers

Whether you’re the veteran or the beginner, this mindset is a cultural lever.
1. For Leaders: Demand naïve questions. Thank people for asking them. Measure psychological safety, not just technical output.
2. For Experts: Check your ego at the door. If a question makes you think, “Ugh, that’s basic,” pause. That’s often the exact moment you’re about to uncover something important.
3. For Beginners: Your inexperience is your superpower. Speak up. Your “dumb question” is often the most valuable one in the room.
The strongest financial models aren’t built by experts working in isolation. They’re stress-tested by curious minds who aren’t afraid to ask, “But why?” So, before you sign off on that next forecast, invite the newest person to the table. They might just save you from a masterpiece of flawed logic.