There is an old myth that the “best” Excel users write the longest formulas. Excel proficiency used to be measured by the number of functions you could fit into a cell, but that standard no longer holds up. Modern tools have changed the game: what once seemed like a clever formula is often just technical debt in disguise.
If you still believe that complexity equals expertise, you’re caught in the same trap as everyone else who creates unreadable spreadsheets. It’s time to debunk the biggest lie in the history of spreadsheets: that hard-to-read formulas are better formulas.
When Excel complexity became a status symbol
Messy Formulas That Look Strangely Awesome
Many people get a unique kind of dopamine hit when they press Enter on a long, multi-line formula and see it return the correct result. In many offices this is interpreted as mastery: the more illegible the formula, the more impressive the author must be.
However, over time, this creates a subtle but powerful misconception: that simplicity in Excel is a sign of inexperience. If a formula is easy to follow, it should be basic, and if it seems like a tangle of nested logic, it should be advanced.
But this misses the point of what spreadsheets are actually for. Excel sheets are shared systems for working with data, and when the logic is buried within layers of parenthesis and nested functionscommunication breaks down, even if the numbers are technically correct. What seems impressive in the moment often turns out to be exactly what’s holding everyone back later.
Excel skill flagging creates brittle spreadsheets
When intelligence overcomes maintainability
This trend has a name: skill signaling. In Excel, it is presented as unnecessarily complex formulas designed more to impress than to clarify.
You’ve probably seen versions of this: deeply nested IF statements, legacy search strings wrapped in error handling, or formulas that attempt to perform analysis, logic, and transformation at the same time within a single cell. Sometimes they work, but that’s often. although its structure, not due to he.
These approaches usually work in the short term, but the problem is what they become over time. Spreadsheet logic must survive updates, data changes, and transfers. When everything is compressed into a single expression, small adjustments become risky. Understanding the formula requires mentally tracking each dependency, and that makes changes slow and error-prone.
Modern Excel gives you better ways to structure the same logic without forcing it into a single line of calculation.
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LET and LAMBDA change the way Excel logic is built
Structure replaces nesting
One of the biggest changes in modern Excel is that deep nesting is no longer necessary to create sophisticated logic.
The LEAVE function allows you to store intermediate values within a formula instead of repeating them. A calculation is defined once, given a name, and reused throughout the expression. Imagine you are calculating profit margin from sales data. In a traditional formula, you could repeatedly calculate revenue minus costs:
=(SUMIFS(Sales(Revenue), Sales(Region), "North") - SUMIFS(Sales(Cost), Sales(Region), "North")) / SUMIFS(Sales(Revenue), Sales(Region), "North")
The problem is not that it is wrong, it is that it is the same. SUMIFS logic is evaluated several times. If something changes, you must update it in three places.
Rewritten using LET, the logic is divided into clear steps:
=LET(
Revenue, SUMIFS(Sales(Revenue), Sales(Region), "North"),
Cost, SUMIFS(Sales(Cost), Sales(Region), "North"),
ProfitMargin, (Revenue - Cost) / Revenue,
ProfitMargin
)
Revenue and costs are calculated once and reused in the bottom line. Nothing is repeated and each part has a clear role.
The LAMBDA functionOn the other hand, it allows you to convert repeated logic into a reusable function. Suppose you frequently calculate net income on multiple sheets. The logic is always the same: sales minus refunds. Without LAMBDA, that logic is copied across multiple sheets, and if the calculation ever changes, it has to be updated everywhere.
Wrap that logic in a reusable LAMBDA function and it can be used as an Excel built-in formula.
Together, LET and LAMBDA move Excel away from long, brittle expressions and toward reusable building blocks.
Auxiliary columns are still important in modern spreadsheets
Simplicity through separation, not compression
At some point, Excel culture developed an unspoken rule that the “real” work happens within a single formula. Everything should be compressed, regardless of complexity. But this assumption causes more problems than it solves.
Auxiliary columns convert hidden logic into visible steps. Each stage of a calculation becomes something you can inspect on its own, making debugging faster and changes safer. But the biggest advantage is what is unlocked outside of the column itself. Once logic exists in a column, it becomes a reusable data set rather than a calculation hidden inside a formula. For example, an auxiliary column that calculates net income or adjusted sales is not just an alternative step: it becomes something you can reuse elsewhere in Excel without having to rewrite the logic.
This unlocks a set of practical benefits that people often overlook:
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Put the results directly into Pivot tables without reconstructing formulas.
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Filter, sort, and segment intermediate logic as you would standard data.
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Plot derived values in a excel chart without incorporating calculations into graph formulas.
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Reuse columns across multiple reports instead of duplicating logic.
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Audit calculations row by row instead of relying on formula inspection.
Most problems with spreadsheets arise not from the final result, but from transformations that are hidden within formulas and never made inspectable. The auxiliary columns state those transformations directly, making the entire book easier to explain under real-world conditions.
Simplicity is the real powerful ability of Excel
The biggest lie in Excel is that your formulas have to be impressive to be effective. In reality, the most professional spreadsheets are those that anyone can read, audit, and trust. Overcoming the mega-formula mentality is not about simplifying things, but about building systems that truly last and don’t collapse in the face of change.
The real improvement in your Excel workflow is learning to structure work as a system and naming objects like a software developer It’s one of the easiest ways to keep the structure intact as your spreadsheets grow.
