Moderately.
On the plus side it's forcing people to acknowledge the uncertainty involved in many numbers they use.
On the minus side it's treating everything as a normal (Gaussian) distribution. That's a common default assumption, but it's not necessarily a good assumption. To start with an obvious problem, a lot of real-world values are bounded, but the normal distribution is not.
It's open source. Right now I only know very basic Python, but I'm taking a CS course this coming semester and I'm going for a minor in CS. How hard do you think it would be to add in other distributions, bounded values, etc.?
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