In a literal information-theoretic sense, a percentage has log2(100)≈6.6 bits of information while a per-tenth has log2(10)≈3.3 bits. This might have been what was meant?
I agree that the half of the information that is preserved is the much more valuable half, however.
First of all, great model and write-up.
One of my the biggest take aways from looking at your model was the importance of the Mean Years of Impact parameter. Looking at guesstimate's sensitivity analysis the r^2 value is about 0.75 , meaning approximately ~75% of the variance in the bottom line result is due to the variance estimating Mean Years of Impact.
Your choice of SCI is also significantly more optimistic than the figures that ACE or Lewis Bollard use. ACE seems to use a log-normal distribution with SCI 1.6 to 13 . Using this in your mod... (read more)