"Errors using inadequate data are much less than those using no data at all"
About this Quote
Babbage’s line lands like a polite Victorian rebuke to the loud certainty of armchair reasoning. He isn’t praising sloppy measurement; he’s warning that “no data” is rarely neutral. It’s a vacuum people fill with habit, ideology, and whatever story feels tidy. In that sense, inadequate data is still a constraint on imagination: it forces your claims to negotiate with reality, even if the negotiation is messy.
The intent is methodological, but the subtext is political in the small-p sense: authority should belong to procedures, not personalities. Babbage helped found the modern culture of calculation - from his Difference Engine to his crusades against scientific laziness and institutional complacency. Read in that context, the quote is less about numbers than about accountability. Data, even imperfect, can be inspected, challenged, improved. “No data” can’t be audited; it’s a permission slip for prejudice dressed up as common sense.
Rhetorically, the sentence works because it flips a familiar fear. We’re trained to distrust bad information as dangerous, yet Babbage points out the more common catastrophe: decisions made with zero friction from evidence. It’s an argument for iterative truth rather than pristine truth - the idea that error is not a scandal but a starting point, because error can be measured.
In 2026, it reads like a preemptive strike against both sides of our epistemic culture war: the data fetishists who pretend datasets are pure, and the vibes merchants who treat skepticism as a substitute for inquiry.
The intent is methodological, but the subtext is political in the small-p sense: authority should belong to procedures, not personalities. Babbage helped found the modern culture of calculation - from his Difference Engine to his crusades against scientific laziness and institutional complacency. Read in that context, the quote is less about numbers than about accountability. Data, even imperfect, can be inspected, challenged, improved. “No data” can’t be audited; it’s a permission slip for prejudice dressed up as common sense.
Rhetorically, the sentence works because it flips a familiar fear. We’re trained to distrust bad information as dangerous, yet Babbage points out the more common catastrophe: decisions made with zero friction from evidence. It’s an argument for iterative truth rather than pristine truth - the idea that error is not a scandal but a starting point, because error can be measured.
In 2026, it reads like a preemptive strike against both sides of our epistemic culture war: the data fetishists who pretend datasets are pure, and the vibes merchants who treat skepticism as a substitute for inquiry.
Quote Details
| Topic | Knowledge |
|---|---|
| Source | Help us find the source |
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