Phytoplankton have been proliferating in the North Atlantic when they were predicted to be doing the opposite, and we haven’t a clue why. Nor do we know whether the increase is beneficial or harmful.
Here’s an observation on this from Anand Gnanadesikan, who is an associate professor in the Department of Earth and Planetary Sciences at Johns Hopkins.
“What is worrisome,” he said, “is that our result points out how little we know about how complex ecosystems function.”
Here’s blogger Richard Fernandez:
This is important because phytoplankton are the foundation of the food chain.
Conventional wisdom held they should be dying. For years the numbers of phytoplankton were thought to be in decline due to Global Warming…Just as nuclear power and radiation explained everything in the 1950s, in 2015 the usual suspect in all modern mysteries is Global Warming…The way the narrative works is the Usual Suspect is guilty in every case. Things are simpler that way.
I am not a scientist, although I am more science and math literate than most people. But I’ve long been worried about the belief that the current state of computer modeling can deal with some of the most complex systems in nature adequately enough to predict the future or understand how an intervention would actually affect the system in the real world.
Fernandez quotes a work in which the late Michael Crichton has a character explain:
Computers were built in the late 1940s because mathematicians like John von Neumann thought that if you had a computer-a machine to handle a lot of variables simultaneously-you would be able to predict the weather…They believed that prediction was just a function of keeping track of things. If you knew enough, you could predict anything.
Our very short-time weather prediction is excellent. But chaos theory throws off weather prediction if it’s just a bit beyond a week or so ahead. Weather prediction of that type (which is still relatively short-term) and climate prediction (which is far more long-term) are different creatures from each other, of course. However, the basic idea that we have enough variables and enough knowledge to reliably predict these things—and particularly to be able to intervene productively in them—appears to be a form of scientific and political hubris.
And that is true even without postulating that some scientists or especially government officials have an interest in fudging data or misrepresenting data, a question we don’t even have to consider for the purposes of this post. Even if it’s all on the up and up, how trustworthy would the conclusions be?
[NOTE: I highly recommend the work of Judith Curry, a respected climatologist who also respects some of the doubts of the so-called “AGW skeptics.” Here’s a sample of the sort of thing she writes at her website, which is worth a visit.]


