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For the purposes of science, information had to mean…

“For the purposes of science, information had to mean something special. Three centuries earlier, the new discipline of physics could not proceed until Isaac Newton appropriated words that were ancient and vague—force, mass, motion, and even time—and gave them new meanings. Newton made these terms…” quote by James Gleick
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““For the purposes of science, information had to mean something special. Three centuries earlier, the new discipline of physics could not proceed until Isaac Newton appropriated words that were ancient and vague—force, mass, motion, and even time—and gave them new meanings. Newton made these terms into quantities, suitable for use in mathematical formulas. Until then, motion (for example) had been just as soft and inclusive a term as information. For Aristotelians, motion covered a far-flung family of phenomena: a peach ripening, a stone falling, a child growing, a body decaying. That was too rich. Most varieties of motion had to be tossed out before Newton’s laws could apply and the Scientific Revolution could succeed. In the nineteenth century, energy began to undergo a similar transformation: natural philosophers adapted a word meaning vigor or intensity. They mathematicized it, giving energy its fundamental place in the physicists’ view of nature. It was the same with information. A rite of purification became necessary. And then, when it was made simple, distilled, counted in bits, information was found to be everywhere.””

James Gleick

About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

Scientific concepts become precise when vague terms are quantified, enabling systematic study and technological progress.

In simple terms: Vague words become precise quantities.

Key Takeaway

Quantify concepts to advance science.

Themes

science language precision history progress

Mood

analytical reflective

Type

explanatory historical

When to use this quote

  • physics research
  • engineering design
  • data analysis
  • educational curriculum
  • technology development

Key Concepts

quantification semantic shift measurement reductionism

Questions to Reflect On

  • How does precise definition affect understanding?
  • What concepts resist quantification?
A Different Perspective

Quantification can oversimplify complex phenomena, risking loss of nuance.

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