A bit more recent on it can be read at http://www.qsm.com/blog/2016/impossible-region-revisited
Given the estimate of how long something takes, and dividing it up amongst the people who can do it, and then say... we're going to deliver it in 75% of the optimal time (based on the size of the project - increasing the speed of getting it done by adding people and having a more aggressive schedule)...
Well, for the data set of 20,000 projects there were 750 that were trying to deliver in less than 75% of the optimal time. Of those 750, none were able to be completed in that time.
Granted, that was for software projects. But I suspect that beurocratic projects have similar problems. Need it done faster? Add more people. Have more people? Need more meetings. Have more tasks going on at once? More likely that someone is going to be waiting on another task getting complete because of a bad (overly optimistic) estimate / deadline. Have more people doing nothing at any given time? Spend money faster... and run out of budget all that much faster.