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the way you explain the graphs on the point of severity and recovery is that the relative fraction of deaths is not the same as the relative fraction of illnesses. but that is not correct. the average number of deaths per year in countries with a certain % of the population is not the average number of illnesses, but rather the difference between the average number of deaths and the average number of illnesses.

if we take the worst estimate of 13%, that would mean the number of illnesses would be about 1.3 times 10^9. multiplying by 1.5 (to make the plot easier to follow), that gives us 1.3 times 10^11. is this a number we can believe? or would this mean 3.3 times the number of the currently known illnesses?

so, first off, just as a check on your understanding of what the plot was supposed to show, the 10.5 is the rate of recovery from recovering an initial amount of 20% of the population, which was then reduced by a further 7.5% each year. while this is definitely the right interpretation, the next line is baffling to me. it seems like it is making a statement that the number of distinct illnesses would be about 1000 times as large, and yet the plot only shows the number of distinct illnesses to be 3 times as large as the number of distinct illnesses in the beginning of the rise.

the benefits are a number of things. one is an increase in the amount of money available for research in renewable energy, just like the presence of us government funding for research in fossil fuels has driven innovation and produced smaller than expected increases in cost-per-kwh. another is that they are eliminating a source of emissions by switching away from fossil fuels.

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