That's punting.
The question was about an event related to a well-known figure in world history. So even if you literally have no idea, your best guess for that reference class is "sometime between the year 0 and 2000". The middle of this range is 1000. The probability that this should come within 15 years of the correct answer by sheer luck is about 1 in 100.
However, it just isn't true that you didn't have a clue. Given the name of the person and even a very rough idea who they were I'm pretty sure any LW reader could do considerably better than that; at the least narrow it down to a couple or maybe three centuries, for a 1 in 20 chance.
I said that "I do not believe they add anything", so no point engaging in the games where someone presumes that they do.
Yvain's 2011 Less Wrong Census/Survey is still ongoing throughout November, 2011. If you haven't taken it, please do before reading on, or at least write down your answers to the calibration questions so they won't get skewed by the following discussion.
The survey includes these questions:
Suppose you state a p-confidence interval of ±a around your guess x of the true value X. Then you find that, actually, |X - x| = b. What does this say about your confidence interval?
As a first approximation, we can represent your confidence interval as a claim that the answer is uniformly randomly placed within an interval of ±(a/p), and that you have guessed uniformly within the same interval. If this is the case, your guess should on average be ±(1/3 * a/p) off, following a triangular distribution. It should be in the range (1/3 ± 3/16)(a/p) half the time. It should be less than 1/3(3 - sqrt(6)), or about .18, 1/3 of the time, and greater than 1-1/(sqrt(3), or about .42, 1/3 of the time.
So, here's a rule of thumb for evaluating your confidence intervals based on how close you're getting to the actual answer. Again, a is the radius of your interval, and p is the probability you assigned that the answer is in that interval.
1. Determine how far you were off, divide by a, and multiply by p.
2. If your result is less than .18 more than a third of the time, you're being underconfident. If your result is greater than .42 more than a third of the time, you're being overconfident.
In my case, I was 2 years off, and estimated a probability of .85 that I was within 15 years. So my result is 2/15 * .85 = .11333... That's less than the lower threshold. If I find this happening more than 1/3 of the time, I'm being underconfident.
Can anybody suggest a better system?