Lets look at a basic example. You may feel like youre consistently unlucky in the market, and yet the fact that youre reading this book means youre likely living in a rst world country, with your basic needs met, and have the capital to trade. Have you factored that luck into your perspective? Likely not. And while Im not suggesting that appreciating this good luck is the antidote to injustice tilt, failing to account for other forms of good luck in trading or elsewhere in your life means that your perspective is skewed. With injustice tilt, theres a similarly skewed perspective that needs to be uncovered. To help you nd the aws or biases causing it, answer these questions with your anger in mind, not what you know logically about fairness:

Does it feel like you never get your share of the luck, or that youre always getting screwed? Does it seem as if the money youve lost is being taken from you? In what situations does bad luck really get to you? Are you jealous or resentful of other traders who you think are luckier than you? When variance is really bad, do you wish trading wasnt this way, or that you could somehow control variance? When your actions cause further losses, its always harder to swallow. is is especially true when you lose control, despite working hard to increase the size of your edge and understand the randomness in the market and distribution of outcomes. While you have no control over luck or variance, take the time to better understand the reasons why bad variance stirs anger, and you can regain command of your execution. Believing You Are Unlucky Look beyond how you think you should react to bad luck and be honest about why you get angry. Do you feel like you dont get your fair share of good luck, a

If so, you may have drawn that conclusion from a long-term research project youve been unknowingly conducting since you started trading.

e problem is that your research has been compromised by bad data, and thus your conclusions are wrong. You arent cursed, you get your share of good luck and not as much bad luck as it seemsyoure just not measuring it correctly. ere are two primary errors that cause faulty coding in this way. First, you attribute your mistakes to bad luck, and second, when you have good luck, you attribute those results to skill. ese errors bias the scales of trading justice to make variance seem unfair when its not. e next two gures illustrate this point.