Chaos theory Quote by James Gleick
““It’s not an academic question any more to ask what’s going to happen to a cloud. People very much want to know—and that means there’s money available for it. That problem is very much within the realm of physics and it’s a problem very much of the same caliber. You’re looking at something complicated, and the present way of solving it is to try to look at as many points as you can, enough stuff to say where the cloud is, where the warm air is, what its velocity is, and so forth. Then you stick it into the biggest machine you can afford and you try to get an estimate of what it’s going to do next. But this is not very realistic.””
About This Quote
Source Interview: The New Yorker, “The Cloud Conundrum”, 1995
The quote argues that predicting cloud behavior is a complex physics problem, yet current methods rely on massive computational models that are unrealistic and costly.
In simple terms: Predicting clouds is hard and current models are unrealistic.
Key Takeaway
Seek better, realistic methods for atmospheric prediction.
Themes
physics
climatology
modeling
technology
economics
Mood
analytical
critical
inquisitive
Type
scientific
technical
analytical
When to use this quote
- weather forecasting
- climate research
- policy planning
- educational curriculum
- public communication
Key Concepts
complex systems
computational limits
resource allocation
Questions to Reflect On
- How can we improve cloud prediction without massive resources?
- What alternative approaches could reduce computational costs?
A Different Perspective
Current models are expensive and may not capture essential dynamics.
