Showing posts with label correlation. Show all posts
Showing posts with label correlation. Show all posts

Tuesday, January 27, 2015

Does Eric Metaxas really have comprehensive imagination?

Recently an opinion piece by Eric Metaxas, "Science Increasingly Makes the Case for God," caused a bit of a storm after the Wall Street Journal ran it on Christmas Day. The argument it makes - that the physical world is fine-tuned to match the needs of living things - is nothing new; similar claims from authors such as Michael Behe, William Dembski, and Michael Denton were part of founding the Intelligent Design movement in the early 1990s. The fact that Metaxas can still get publicity from his claims suggests a serious examination is in order.

The foundation of Metaxas's argument is the striking correlation between the physical conditions of the Earth and the needs of organisms that live on that Earth. As he puts it:
Today there are more than 200 known parameters necessary for a planet to support life—every single one of which must be perfectly met, or the whole thing falls apart.
This correlation is something any knowledgeable observer should accept; the match between organisms and their environments is quite striking. Given that correlation, we naturally want to understand the cause, and that is where Metaxas's views differ so radically from those of most scientists.

There are really two possibilities. The first explanation argues that life is picky, fragile, and static, and that the universe must have been adjusted to the particular needs of living things. This is where Metaxas's description, that "every single [parameter] must be perfectly met" comes from. If the universe needed adjusting (often called "fine-tuning" when describing the constants of physics), then there must have been an intelligent being doing the adjusting - hence "the Case for God."

The other possibility is that the conditions of the universe are relatively static and not "adjusted" to benefit life, but that living things are capable of evolving so that they can tolerate those conditions (at least in a few places like Earth). Either explanation could produce the striking correlation; how do we choose between them?

Each explanation makes strong demands on our understanding. One particularly strong demand for the fine-tuning explanation, often unstated or ignored, is a complete understanding of the possible ways living things could exist. Arguing that the universe has to be adjusted to the requirements of Earth life includes the implicit assumption that the Earth includes the complete sweep of potential living things. If you want to argue that Metaxas's "200 parameters" have to be the way they are, you have to argue that the only way living things could possibly exist is pretty much just the way they do here on Earth.

As an example, if you insist that life absolutely requires liquid water, having planets with liquid water on their surface seems like a reasonable demand of the universe. Can you be sure of that assumption when the only examples of living things you know of all come from a planet with oceans? It's rather like insisting that all mammals deliver well-developed live young, completely ignorant of the marsupial branch of the mammal family tree. Time has not been kind to this assumption of "comprehensive imagination." That living things could survive in deep oceanic hydrothermal vents (way too deep to get energy from the sun), at the near-boiling temperatures of hot springs,  or in extremely acidic conditions were all hardly conceived (not even taken seriously enough to be considered impossible) until the organisms living in those environments were discovered. Claiming to imagine every possible way of being alive seems both remarkably arrogant and extremely unlikely. To borrow from Daniel Kahneman's remarkable book, this explanation suffers from the "WYSIATI" fallacy: What You See Is All There Is.

But what about the other explanation - that life has evolved to match the conditions in which it finds itself? That lineages of organisms can change over time was once considered an extraordinary idea, and one might rightfully demand some pretty strong evidence of its reality. After over 150 years with the idea of natural selection, the evolutionary biologist can point to a range of different types of evidence, from change in fossil lineages, to the hierarchical pattern of diversity of living things, to the underlying biochemical similarity of all living things. One can observe the evolutionary process in the lab with organisms whose generation times are conveniently short, as well as in decades-long studies of wild populations. We even know that life on Earth has adjusted to huge shifts in the composition of its atmosphere caused by living things themselves! In short, that lineages of living things on Earth can change over time is a well-documented fact. That other forms of life could evolve does not seem far-fetched, since there is no apparent reason the conditions for evolution (reproduction, a genetic system, and differential survival) could not be fulfilled in radically different forms of life.

So in understanding the strong correlation between environment and living things, we can either claim that life is inherently dependent on the conditions here on Earth (again, a claim of comprehensive imagination for which we cannot have any real basis) or claim that life can adapt to at least some of the environments available (for which we have abundant evidence, at least for Earth-life). If we are really honest about the limitations of our examples of life - and the limits of our imaginations - we should see the absurdity of the assumptions necessary to claim proof of supernatural fine-tuning. The far more plausible explanation is the evolutionary one, and it is the only one with sound empirical evidence.

(note: not long after I wrote this post, the AAAS hosted a session on what a "shadow biosphere" (i.e. not based on DNA/protein) might be like. There's an account of the session here, if you're curious.)

Wednesday, August 8, 2012

A Laffer of a statistical gaffe...

We humans are funny creatures. We're so primed to look for patterns that it gets in the way of our judgement about the real world. Examples run the gamut from cryptozoology to astrology. Much of the time, we harden our misinterpretations of reality with confirmation bias, the tendency to see new evidence as confirming what we already think. It takes real mental discipline to be honest about what we really know, versus what we would like to think is true.

You might think that we could improve that discipline with an extensive education, especially in a model-based field like economics. Indeed, a tough educational environment that challenges our beliefs can reduce our tendency to self-deception. But it's not a perfect solution, judging by a recent example from the Opinion page of the Wall Street Journal.

Arthur Laffer, who holds a PhD in economics from Stanford and was tenured at the Chicago Graduate School of Business, included in his piece a figure comparing the rate of change of government spending with the change in gross domestic product for the 34 nations in the OECD. Laffer then points out that several nations that have notably high increases in government spending also have big drops in GDP. In other words, what statisticians call a correlation. Laffer then goes on to claim that
...there's no arguing with the data in the nearby table, and the fact that greater stimulus spending was followed by lower growth rates. Stimulus advocates have a lot of explaining to do. Their massive spending programs have hurt the economy and left us with huge bills to pay.
However, Laffer has made the oldest statistical error in the book in trying to align reality to his views: he has assumed that correlation implies causation. In other words, he is assuming that as two things changed, one clearly caused the other. It starts with the simplest nuance, describing the change in government spending before describing the change in GDP; that reads a lot like a narrative, where one thing happened before the other. The first must have caused the second, right?

Unfortunately, there are lots of other interpretations completely consistent with the table. One could simply reverse the causation - isn't it remarkable how much a drop in GDP caused governments to spend more money on social support! - and still get the same data. Or there could be a third factor that caused the changes in the things measured (perhaps there is some other similarity among the countries with a big drop in GDP that caused both changes). In short, you simply cannot know from a correlation between things how, or even if, one caused the other.

To be sure, someone of Arthur Laffer's background should know better than to draw such unjustified conclusions from these data, and the WSJ should know better than to print it. One might see the invisible hand of supply-side ideology behind that novice's mistake. Nonetheless, the example points out once again how vulnerable we are to confirmation bias - and how much more stringently we must examine our ideas about the world.