Algorithms Quote by Jaron Lanier
“A fashionable idea in technical circles is that quantity not only turns into quality at some extreme of scale, but also does so according to principles we already understand. Some of my colleagues think a million, or perhaps a billion, fragmentary insults will eventually yield wisdom that surpasses that of any well-thought-out essay, so long as sophisticated secret statistical algorithms recombine the fragments. I disagree. A trope from the early days of computer science comes to mind: garbage in, garbage out.”
About This Quote
Source Essay: The Myth of Scale, 2013
More data does not guarantee better insight; quality of input matters more than quantity.
In simple terms: Data quality beats quantity.
Key Takeaway
Prioritize high-quality data.
Themes
technology
data
quality
Mood
cautious
analytical
Type
critical
philosophical
When to use this quote
- research
- business analytics
- policy making
- education
Key Concepts
information theory
machine learning
Questions to Reflect On
- How can we ensure data integrity at scale?
- What safeguards prevent garbage in, garbage out?
A Different Perspective
Scaling can amplify errors and bias.
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