Steve Jobs and his Black Turtleneck

This is the 41st installment of my fortnightly poker column in the Economic Times, Range Rover.

The next time you are sitting at a poker table, faced with a big decision for a lot of money, take a few seconds off and think of Steve Jobs, naked after his morning shower, walking to his closet to pick out the clothes he will wear for the day. Does he tank over what to wear? No, he doesn’t. He just takes out a black turtleneck, a pair of jeans, and that’s his outfit for the day. Through the last years of his life, in fact, that was his outfit for every day.

Jobs wasn’t lazy or devoid of imagination. He had just cottoned on to a phenomenon called Decision Fatigue. Basically, neurologists have found that every decision you take tires you out a little bit, and robs you of energy. Through the day, Decision Fatigue accumulates, as you get more and more pooped. So if you want to use your energy optimally, the smart thing to do is to automate all trivial decisions, or get them over with quickly, so you can bring all your powers to bear on the big decisions that really matter. Basically, don’t sweat the small stuff.

Jobs did this by wearing the same outfit every day, as does Mark Zuckerberg, thus eliminating one early decision at the start of the day. You could do this by having the same breakfast every day (or letting someone else decide for you), parking in the first available spot instead of searching for the perfect one, and so on. One way to deal with Decision Fatigue is by Satisficing. When I shop, for example, I don’t look for the perfect item to buy, but pick the first adequate one. This is Satisficing: making quick and easy decisions instead of perfect ones. If I’m buying a TV or a T-shirt or a portable hard drive, I won’t agonise for hours over all the different models available, but just pick the first one that seems satisfactory. I’ll devote more scrutiny to big ticket items that really matter—like buying a house, for example.

Consider the implications of this for poker. Poker players typically play sessions that last for many hours, sometimes upwards of 15, which is tiring in itself. They have to stay focussed, observe the action even when they’re not in the hand, and in live games, where such things matter, interact with others for the sake of conviviality. Add to this Decision Fatigue. In any session, you will face dozens of decisions, some of them big ones, increasing the likelihood of your getting exhausted as the session goes on, and thus more prone to errors. So what is one to do?

The obvious answer is to automate. At a beginner level, if you have a starting hand chart for every position, at least those preflop decisions won’t consume energy. As you grow into the game, you can have default decisions for more and more situations. But there is one huge problem with playing like this: you run the risk of becoming predictable, and therefore, exploitable. As you rise up the stakes in poker, you need to start balancing your ranges. This involves a huge amount of work off the table, so that decisions are easy while actually playing. I think of it as akin to a batsman spending thousands of hours in the nets till it becomes reflexive for him, in a match, to lean into an elegant cover-drive against a half volley outside off. Test cricketers don’t actually make a decision on every ball when they are batting; they just follow their reflexes. They have to hone their second nature.

This is why online grinders, whether they are playing cash games or tourneys, multi-table with such ease. Most decisions are automated. Of course, since most of us are playing exploitive poker instead of GTO, we also have to be observant for mistakes to exploit—but even this becomes second nature with practice and hard work off the tables. So here’s my takeaway from this: to reduce decision fatigue at the tables, and to become a better player overall, you need to put in lots of work off the tables. If you do that, there’ll be many black turtlenecks and jeans ahead of you, and Steve Jobs won’t be naked no more.