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Trials and Errors: Why Science Is Failing Us
Lanxon writes "An in-depth feature in Wired explores the reason science may be failing us. Quoting: 'For too long, we've pretended that the old problem of causality can be cured by our shiny new knowledge. If only we devote more resources to research or dissect the system at a more fundamental level or search for ever more subtle correlations, we can discover how it all works. But a cause is not a fact, and it never will be; the things we can see will always be bracketed by what we cannot. And this is why, even when we know everything about everything, we'll still be telling stories about why it happened. It's mystery all the way down.'"
It's a direction.
I agree.
I think we need to start focusing on systems theory. Many large systems share some very similar characteristics. We need people who are big picture people, who can see the forest for the trees. Of course, without knowing about the trees, a forest is something of a mystery. We need both kinds of people. But the usefulness of pure reductionism is at its end, and we need to recognize that and start taking a different approach to understanding.
Need a Python, C++, Unix, Linux develop
"Many large systems share some very similar characteristics...We need people who are big picture people, who can see the forest for the trees."
Except that everyone who gets large systems dropped out of the current, fucked-up system long before being awarded a research post for their willingness to play along.