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Numbers stored as text, and the total that is quietly short.

The most dangerous data problem is the one whose symptom is a number that looks about right.

  • Read5 min
  • Sections3
Quoted value tags passing through a type conversion frame while an identifier stays separate.

Why is my sum ignoring some cells in Excel?

Because those cells are text rather than numbers, and most tools skip text when summing. A value that arrived as a string with a currency symbol, a thousands separator, a trailing space or parentheses around a negative looks identical in the cell and is not a number. The total is not wrong so much as incomplete, and the shortfall is usually small enough to look plausible.

01

Why it is worse than an error

An error is loud. This is not: the sum returns a number, the number is plausible, and nothing warns you. A total that is four per cent short passes every sanity check a person applies by eye.

It is also self-concealing over time. Once a shortfall is reported once, it becomes the baseline, and the following month's comparison is between two figures that are both wrong by different amounts.

Left-aligned values in a numeric column are the visual tell. Excel right-aligns numbers and left-aligns text by default.

02

What makes a number into text

A currency symbol inside the cell rather than applied as a format. A thousands separator that came from a system using a different one from yours. A trailing space, or worse a non-breaking space, which is invisible and common in anything copied from a web page.

Accounting-style negatives wrapped in parentheses are the fourth, and they are the most consequential because those rows are usually the refunds and the credits — so the total is not merely short, it is short in one direction.

That directionality is what makes this worth catching rather than tolerating. A random shortfall averages out across a year and a systematic one does not: if every negative adjustment is being skipped, revenue is overstated in every period, by a growing amount as the business grows.

03

Finding them, then fixing the source

Count how many cells in the column are numeric and compare that against how many are non-empty. If the two disagree, the difference is the size of your problem.

Converting them is straightforward. Preventing them from arriving again is the part that matters, and it is almost always an export setting in the system that produced the file rather than anything about the spreadsheet.

Where the file comes from somebody else's system and cannot be changed, record the conversion as part of the process rather than doing it by hand each month, because doing it by hand is how one month gets skipped.

See it on a real project

Contractor spend rose $412,000 while headcount spend fell $448,000, leaving only a $4,000 net change.

What actually changed between these budget versions?

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