It seems that Blackberry's market share of new phone sales peaked at 20% in 2009. So I'm not sure if it's coincidence, but it looks like the market actually did a pretty good job of pricing in the iphone/android risk well before it was strongly reflected in sales.

It's effectively a visualization of gcd(x,y), and has almost nothing to do with primes. Once you realize that, it's a lot easier to reason about a lot of the patterns, although it is still a pretty interesting visualization.

Thanks for the link!

The idea is that if it costs $r to store a base-r digit, then base 3 (or e in a continuous scale) turns out to be the most efficient. Obviously, there's no a priori reason to think that a 3-level gate is exactly 1.5x more expensive than a 2-level gate, so this is mostly of theoretical interest.

I'm thinking about how this would apply to human psychology of reading and writing numbers. Then it doesn't make sense to measure economy as b floor(log_b(n)+1), because adding in more symbols doesn't increase the complexity linearly for people reading or writing numbers. Maybe something like E(b,n) = f(b) g(floor(log_b(n)+1)), where f stays constant up to 10 or 20 symbols, and then increases after, and g increases faster than linearly because it's easier to read shorter numbers than longer ones.

> I have posted this Q&A because I'm sick and tired of telling people to enable warnings. Now I can just point them here (or, if I'm in a particularly evil mood, close their question as a dupe). You are welcome to improve this answer or add your own.

Being able to look at a line item list of how your rep spent your Federal taxes might bring some much needed fiscal responsibility to government spending.

http://pastebin.com/yK1HrZJQ

    c: {[h;t]{(h;t)x}}                  / cons
    h: {x 0}                            / head
    t: {x 1}                            / tail
    n: {h y t/x}                        / nth
    p: h'-1_(~^:)t\                     / print
    r: {{$[^y;x;c[h y;x]o t y]}[0N;x]}  / reverse