When two people in America need to make a boolean decision and a coin isn’t available, the go-to method of problem resolution is Rock, Paper, Scissors.
Generally people feel this game is fair, meaning there’s an equal likelihood of each participant winning, losing, or tying. And of course if you’re an academic who believes Big-Oh embodies everything you need to know about algorithms, you might leave it at that.
But we real geeks can never leave things at that. And I don’t (just) mean playing Bear, Ninja, Cowboy:
Cowboy beats bear, bear beats ninja, ninja beats cowboy. The theory behind this is that cowboys can shoot bears but are not fast enough to prevent a ninja from assassinating them, but a bear’s acute sense of smell prevents the ninja from gaining the element of surprise, thus allowing the bear to maul him. –Wikipedia
The UK-based Telegraph tells us there’s a strategy that wins more often than 1/3 of the time:
Research [from the New Scientist] shows that stone, also called rock, is the most popular of the three possible moves in the game.
That means that your opponent is likely to choose paper, because they will expect to you to start the game with stone.
By going with scissors, you achieve an early victory.
But hold on. If rock is the most popular move, going with scissors means you would be defeated. But here it says you’ll win. Which is it?
It depends on what your opponent knows. Let’s first assume that neither player knows anything about the statistics or analysis of RPS. (Yeah, RPS is not only an accepted acronym, there are even RPS tournaments. Wowzies.) A and B are innocent players, but we want to give A an advantage.
The new study says that, unbeknownst to the players, rock is the most popular move. That means ignorant B will throw more rock than average, so A can win by throwing more paper against it. So we should whisper into A’s ear that he should throw more paper.
But what if B has read about this study? His “beknownst” state has flipped to true. Then we expect B to favor paper, so in this case we instruct A to favor scissors.
Ah but it gets worse, as it often does with these things. What if B knows that A knows that B read the study? Then B will figure out that A will favor scissors, and will start favoring rock again. Double-fake!
But you see what’s coming next. If A knows all of this, A can double-fake too. And so on.
So where does all this leave us? That, at least in regard to this study, he with the most information wins. There’s probably a life lesson in there somewhere.
Another life lesson is to always keep digging. Like, this isn’t close to over. One strategy is to call out what you’re going to throw, and then actually throw it. The theory is that the other person generally won’t believe you. Why is this an advantage? Let’s take a concrete example.
A says, “I’m going to throw rock.” Let’s go with the theory that B doesn’t believe it. So B thinks A will throw paper or scissors. If B throws rock, he figures 50% chance to win, 50% chance to lose. If B throws paper, it’s 50% to tie, 50% to lose, so that’s no good. If B throws scissors, it’s 50% to win, 50% to tie. Add it up: B’s best move (under his assumption) is scissors, and second-best is rock.
Since A will actually throw rock according to this strategy, and we figure B will throw rock or scissors, A will either tie or win. Awesome!
Until B knows that strategy, of course…
Fortunately a new infographic from the World RPS Society (oh sweet lord, really? The whole world?) helps us with even more strategems (see below).
Are you still waiting for some advice about startups? Sheesh… OK:
This is like trying to second-guess what your competitors think, what they know, what they think they know, whether they’ll react to your knowledge of that guess, etc..
In the end, screw it, just build the best company you can, for you. You’re wrong about most of what you think about those competitors anyway — both the good and bad — so focus inward, and build something you’re proud of.
Jason Cohen is the founder of four companies including Smart Bear and currently WPEngine. This post originally appeared on his blog.
Top photo credit: neurmadic aesthetic via photopin cc
VentureBeat and marketing technology analyst David Raab are working on a new Marketing Automation usage and ROI study
. If you currently use a marketing automation system, help us out by answering the survey.
If you do, we'll share the resulting data with you.