"Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom"
About this Quote
In an era that treats dashboards like divining rods, Stoll’s line is a cold shower: the ladder from “more” to “meaning” isn’t automatic. Its power comes from the drumbeat of negation, each clause snapping the reader back from the techno-utopian fantasy that accumulation equals insight. The sentence is built like a firewall, forcing separations our culture constantly blurs. We hoard data, call it “information,” and expect wisdom to appear like a software update.
Stoll’s specific intent is methodological as much as moral. He’s warning that each step up the chain requires human labor: selection, interpretation, synthesis, judgment. Data is raw measurement; information is curated relevance; knowledge is internalized pattern; understanding is causal grasp; wisdom is the ethical, contextual use of all of it. The subtext is a critique of computational authority: machines can count, sort, and correlate, but they can’t automatically supply purpose, values, or responsibility. When we pretend they can, we outsource accountability and dress it up as objectivity.
Context matters: Stoll came to prominence as a skeptical voice during the early internet boom, when “digital” was marketed as inherently clarifying and democratizing. This quote pushes back against that evangelism without rejecting technology outright. It’s not anti-data; it’s anti-idolatry. The line endures because it diagnoses a contemporary habit: confusing legibility with truth, and speed with depth. The final turn to “wisdom” lands like a dare, insisting the highest output of thinking isn’t certainty, but judgment.
Stoll’s specific intent is methodological as much as moral. He’s warning that each step up the chain requires human labor: selection, interpretation, synthesis, judgment. Data is raw measurement; information is curated relevance; knowledge is internalized pattern; understanding is causal grasp; wisdom is the ethical, contextual use of all of it. The subtext is a critique of computational authority: machines can count, sort, and correlate, but they can’t automatically supply purpose, values, or responsibility. When we pretend they can, we outsource accountability and dress it up as objectivity.
Context matters: Stoll came to prominence as a skeptical voice during the early internet boom, when “digital” was marketed as inherently clarifying and democratizing. This quote pushes back against that evangelism without rejecting technology outright. It’s not anti-data; it’s anti-idolatry. The line endures because it diagnoses a contemporary habit: confusing legibility with truth, and speed with depth. The final turn to “wisdom” lands like a dare, insisting the highest output of thinking isn’t certainty, but judgment.
Quote Details
| Topic | Wisdom |
|---|---|
| Source | Later attribution: An Introduction to Data Science (Jeffrey S. Saltz, Jeffrey M. Stanton, 2017) modern compilationISBN: 9781506377520 · ID: x35ZDwAAQBAJ
Evidence: ... Data is not information , information is not knowledge , knowledge is not understanding , understanding is not wisdom , " but this quote is actually from Clifford Stoll , a well - known cyber sleuth . The quote suggests a kind of ... Other candidates (1) Mathematics (Clifford Stoll) compilation38.0% the same that is one of their innermost freudian motivations in fact that is what we mean by understanding giancarlo ... |
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