When you love a problem, its contours, obstacles and resistances are all just part of its character.
Steven StrogatzRead
One of the pleasures of looking at the world through mathematical eyes is that you can see certain patterns that would otherwise be hidden.
Interpretation
Mathematics offers a unique perspective to uncover hidden patterns in the world around us.
The quote by Steven Strogatz highlights the joy and enlightenment that comes from viewing the world through a mathematical lens. It suggests that by applying mathematical principles and thinking, one can reveal intricate and often overlooked patterns in everyday life, leading to a deeper understanding and appreciation of the universe's structure and complexity.
In practice
This quote can be used in a math class to inspire students to appreciate the beauty of mathematics.
When you love a problem, its contours, obstacles and resistances are all just part of its character.
In mathematics, our freedom lies in the questions we ask β and in how we pursue them β but not in the answers awaiting us.
Logic leaves us no choice. In that sense, math always involves both invention and discovery: we invent the concepts but discover their consequences. β¦ in mathematics our freedom lies in the questions we ask β and in how we pursue them β but not in the answers awaiting us.
It will be another million years, at least, before we understand the primes.
Some evolutionists will protest that we are caricaturing their view of adaptation. After all, do they not admit genetic drift, allometry, and a variety of reasons for nonadaptive evolution?
If you aren't confused by quantum mechanics, you haven't really understood it.
I had a bet with Gordon Kane of Michigan University that the Higgs particle wouldn't be found.
Nuclear accidents anywhere can affect people everywhere.
Paleontologists [fossil experts] have paid an exorbitant price for Darwin's argument. We fancy ourselves as the only true students of life's history, yet to preserve our favored account of evolution by natural selection we view our data as so bad that we almost never see the very process we profess to study.
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