Assume the property of a particular GB which has been randomly sampled has never been measured before. What is available, however, is a set of property measurements for 388 other GBs. Our model suggests that GBs which are further apart than ∼7.5°can't reveal much information about each other. So, how many GBs are in this local region of influence to be able to predict the property for the GB of interest? The answer is only one GB. To make matters worse, this GB happens to be at the borderline distance of containing relevant information (closer is better).