It seems plausible that social distancing can reduce human contact for the average person by 50%, and for people with some flu symptoms by 80%. All this is to agree, the growth rate is by far the biggest factor in getting an estimate of peak impact.
That should already be helping, but I wonder if spreading might follow a power law pattern where "super-spreaders" account for a vastly disproportionate share of transmissions. If that's the case, it might require a strict lockdown to meaningfully reduce the exponent?
Dropping 90% is not a great way to calculate this. Look at the math for 61 days out (from March 8): https://youtu.be/Kas0tIxDvrg?t=465
I don't think our social distancing and hand washing will be near enough to prevent millions of deaths, but it's important to recognize that a small change in the growth rate does make a huge difference.
Estimating how much we can affect the growth rate is hard, but I think models should be based on a iffy guess on that value rather than an iffy guess on the resulting count. (Expert models certainly are.)
Poke -- lots of measures are already being put into place (Stanford is effectively shut down, the big tech companies are making everyone work from home) etc.
Edit oh you have this right after: "Or, multiply it by less if you want to take into account various amounts of social distancing we're all doing. I'll cut that number above down by a huge amount – 90% – on the assumption that we all learn to stay home and self-isolate immediately, just to be super aggressive on my assumptions about how humanity will rise to the occasion"
Still, kinda weird to start with assumption of no measures when there clearly are some already.