The Fine-tuned Universe Theory, according to Wikipedia is the belief that, "our universe is remarkably well suited for life, to a degree unlikely to happen by mere chance". It is typically used to argue that our universe must therefore be the result of Intelligent Design.
One of the most common counter-arguments to this view based on the Anthropic Principle. The argument is that if the conditions were not such that life would be possible, then we would not be able to observe this, as we would not be alive. Therefore, we shouldn't be surprised that the universe has favourable conditions.
I am going to argue that this particular application of the anthropic principle is in fact an incorrect way to deal with this problem. I'll begin first by explaining one way to deal with this problem; afterwards I will explain why the other way is incorrect.
Two model approach
We begin with two modes:
- Normal universe model: The universe has no bias towards supporting life
- Magic universe model: The universe is 100% biased towards supporting life
Alice notices that Earth survived the cold war. She asks Bob why that is. After all, so much more likely for Earth not to survive. Bob tells her that it's a silly question. The only reason she picked out Earth is that it's her home planet, which is because it survived the cold war. If Earth died and, say, Pandora survived, she (or rather someone else, because it's not going to be the same people) would be asking why Pandora survived the cold war. There's no coincidence.
However, this is actually asking the wrong question. It is right to note that we shouldn't be surprised to observe that we survived given that it would be impossible to observe otherwise. However, if we were then informed that we lived in a normal, unbiased universe, rather than in an alternate biased universe, if the maths worked out a particular way such that it leaned heavily towards the alternate universe, then we would be surprised to learn we lived in a normal universe. In particular, we showed how this could work out above, when we examined the situation where p(we exist|normal universe) approached 0. The anthropic argument against the alternate hypothesis denies that surprise in a certain sense can occur, however, if fails to show that surprised in another, more meaningful sense can occur.
=p(we exist|normal universe)p(normal universe) + 1 - p(normal universe)
Performing Bayesian updates
Again, we'll imagine that we have a biased universe where we have 100% chance of being alive.
We will use Bayes law:
p(a|b)=p(b|a)p(a)/p(b)
Where:
a = being in a normal universe
b = we are alive
We'll also use:
p(alive) = p(alive|normal universe)p(normal universe) + p(alive|biased universe)p(biased universe)
Example 1:
Setting:
p(alive|normal universe) = 1/100
p(normal universe) = 1/2
The results are:
p(we are alive) = (1/100)*(1/2)+1*(1/2) = 101/200
p(normal universe|alive) = (1/100)*(1/2)*(200/101) = 1/101
Example 2:
Setting:
p(normal universe)=100/101
p(alive|normal universe) = 1/100
p(normal universe) = 100/101
The results are:
p(we are alive) = 100/101*1/100+1/101*1 = 2/101
p(normal universe|alive) = (1/100)*(100/101)* (101/2) = 1/2
I think that anthropic reasoning only works when you have a good model of how you could have gotten into the situation in question.
For the beginning of the universe kinds of questions, as I see it, the options boil down to:
1) Is something vaguely like String Theory correct, in which a near-infinite ensemble of universes with different laws is created at the dawn of time, or continuously across time?
2) Are the laws we observe actually perfectly fundamental, and they just happen to be right?
3) Did some entity pick out these laws?
Anthropic reasoning gives us no reason to go for 2, but it is perfectly happy with 1, since it lets us discard all of the parts of the universe with rules that don't produce life capable of considering the question.
One of the points that I was trying to make is that you can't apply anthropic reasoning like that. That is, you need to be comparative, to start with at least two models, then update on your anthropic data. As an analogy, I might be able to give you very good reasons for believing that theory A would explain a phenomena, but if theory B explains it better, then we should go with theory B. There are many cases where we can obscure this by talking exclusively about theory A.
So the question is not does 1) explain the situation well, but does 1) explain the si... (read more)