The greatest shortcoming of the human race is the inability to understand the exponential function. Dr. Albert Bartlett
Will this shortcoming be our "Great Filter"?
... the US is sending 1,500 - 1,700 beds. Those hospitals will take 50 - 100 days to be up and functional.
So 75 days (between 50 - 100 to be fair)
Divided 21 day doubling period (if we don't assume it will shrink, which it very well could)
Gives us 3.4 doubling periods before the hospitals are open and ready.
We're looking at between 40,000 - 50,000 people infected before the opening day of those hospitals.
So you can see why 1,500 beds being deployed NOW for use in 50 - 100 days is too little too late. I am glad that 1,500 more beds will be open for a few thousand lucky people who won't die in the dirt, but it's not much.
“But I want us to be clear: We are not moving fast enough. We are not doing enough,” the president said. “There is still a significant gap between where we are and where we need to be.”
... one of the key features of compound growth…the one thing I want you take away from all this. With exponential functions, the action really only heats up in the last few moments.
Will the public still be oblivious at year's end, on the brink of the last few doubling times?
Here's the graph for Ebola prediction:
If you want to see a video of what Sept 26th on that curve looks like on the ground in Sierra Leone go to the video at VOA Exclusive: Ebola Patients Find No Treatment at Sierra Leone Hol...
“There’s a change of scale in this epidemic every two weeks.” Robert-Nicoud
It wasn't until I read this quote from Hugues Robert-Nicoud, an MSF emergency program manager, that the mathematics really hit home. F**K! This is fractal, and we're trapped inside of it.
The latest research from Yale indicates that, in Liberia's most populated county, Ebola's basic reproductive number is 2·49 (95% CI 2·38—2·60). In other words every patient infects 2 1/2 new people.
"The growth of this epidemic fits so well with mathematical epidemiological ideas that it seems torn from the pages of a textbook. And thus, even as the current Ebola epidemic wastes lives, devastates economies, and causes widespread fear, it follows a seemingly well behaved epidemiological process, readily understood through the use of mathematical modelling."
The math tells us that, barring magic, this epidemic will be globally pandemic by 2015, if not sooner.