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What the Cancer Data Isn't Telling You

You’ve probably seen the headline: colorectal cancer is now the leading cause of cancer death in younger adults.

The charts are straightforward. Bars lined up. Colon cancer on top, breast cancer close behind. Same gray bars, similar heights.

But here’s what those charts don’t show: who is dying.

The Data Hidden in Plain Sight

Here’s the original chart from the American Cancer Society data, as reported by the WSJ:

Colorectal Cancer Is Now the Top Cause of Cancer Death in Younger People - WSJ chart showing cancer deaths without demographic breakdown

When I broke down that same data by sex, the story shifted completely.

Colon and rectal cancer: ~2,200 deaths in people under 50

  • Males: ~1,200
  • Females: ~1,000

Breast cancer: ~3,600 deaths in people under 50

  • Females: ~3,600
  • Males: negligible

Same total number. Completely different story.

The Revelation

Here’s what the data looks like when you ask one more question:

Estimated Cancer Deaths in People Under 50 (2025) - Stratified by sex showing breast cancer deaths are almost entirely female while colon cancer affects both sexes equally

See the difference? Breast cancer (yellow bars) is almost entirely female. Colon cancer (purple and yellow combined) affects both sexes.

What This Actually Means

Women represent 50% of the population.

But we account for nearly 100% of breast cancer deaths—numbers that rival a cancer affecting everyone equally.

Colon cancer? It’s distributed across sexes. Different disease, different pattern, same raw total.

That’s not just a statistic. That’s a demographic reality that raw numbers completely obscure.

The Lesson

Data always has more layers. The question is whether you’re asking for them.

That gray bar chart wasn’t wrong. It just wasn’t complete. It answered one question: How many people are dying?

But it didn’t answer the one that matters: Who is dying, and why?

Next time you see a health statistic, ask yourself: What would this look like if I broke it down further? Who’s in this number? Who’s missing?

Data is only as honest as the questions you ask it.


Sources

Director, Bioinformatics Platform

I build tools, visualizations, and platforms that turn genomic data into actionable insights for drug discovery and target identification.