A - Learned optimism

Recognizable questions Why do I so quickly think after a setback that things will never get better? Why does one problem sometimes feel like everything is going wrong at once? Can I learn to see problems as less permanent and less all-encompassing? What’s the difference between optimism and fooling yourself? What is learned optimism? Learned optimism is not about positive thinking or pretending problems don’t exist. It’s about how you explain what happens , especially when things go wrong. The concept became especially well known through psychologist Martin Seligman. According to this approach, people can develop a certain explanatory style . When something goes wrong, your thoughts can quickly go in three directions: This will last forever. This affects everything. This is because of me. Learned optimism means learning to examine whether those conclusions are actually true. A problem may be temporary rather than permanent , specific rather than all-encompassing , and there may be multiple causes rather than just you . So you are not trying to make reality look better than it is. You’re trying not to make it more negative or more final than the facts allow . Why can our brain do this? People are constantly trying to understand why things happen. Through experience and repetition, certain explanations can become more and more automatic. When you have often experienced or expected situations to turn out badly, a new setback can quickly feel like confirmation: See? It’s always like this for me. One event then quietly becomes proof for a much bigger conclusion. But such an explanatory style is not completely fixed. You can learn to distinguish between what actually happened and what your brain then makes of it . That creates room for other explanations and for change. Everyday example You get turned down for a job. Your first thought might be: See? Nobody wants me. I’ll never find a good job. You could also look at the same event this way: This application didn’t work out. I don’t yet know exactly why. Maybe someone else was a better fit for this role, maybe I can improve something, and a next application may turn out differently. The second thought does not deny the rejection. It may still hurt. But one rejection does not automatically become proof about your entire future. That is the difference between realistic optimism and wishful thinking . Wishful thinking says: It’ll be fine. Realistic optimism says: I don’t know how this will end, but this one setback does not prove it will always be this way. How can this show up in close-knit or highly structured groups? Within religious, social, or other close-knit groups, clear explanations for right and wrong, success and setbacks can provide a lot of certainty. Events are sometimes quickly given a clear meaning. Some people notice during periods of doubt, change, or after leaving a group that they keep using that same explanatory pattern. A difficult period can then trigger thoughts such as: Maybe this is because I made the wrong choice. Maybe it’s my own fault. Maybe this proves things will end badly for me. It’s important not to label such thoughts as true or false right away, but to first ask: what do I actually know, and what meaning am I giving it myself? By the way, this pattern does not occur only in religious groups. Upbringing, perfectionism, long-term stress, past experiences, and other circumstances can also influence the way someone explains setbacks. What can you do with this? Pay attention to words like always, never, everything, nobody and everyone . They can be a sign that you’re turning one event into a general conclusion. Then ask yourself: Is this really permanent, or can the situation change? Does this truly affect my whole life, or mainly this one part? Is this entirely my fault, or are multiple factors involved? What do I know for sure, and what am I predicting or assuming? What do I have influence over right now? After that, you can choose one small concrete step. Not because that will solve everything immediately, but because you allow yourself to experience that a situation does not have to be completely fixed. Questions to reflect on Which negative prediction do I make regularly? Do I use words like always or never when I do? Is my conclusion a fact or an expectation? Am I unconsciously turning one problem into a judgment about my whole life or about myself? What other explanation also fits the facts? What can still change? Summary Learned optimism does not mean believing that everything will work out. It means learning not to automatically explain a setback as permanent, all-encompassing, or entirely personal . By examining what actually happened, what you still don’t know, and what other explanations may be possible, you can look at a difficult situation more realistically. That doesn’t make the problem disappear, but the thought this will always be this way no longer has to be automatically true. Sources and further reading Martin E.P. Seligman (1990), Learned Optimism , Knopf. In this book, Seligman describes how optimistic and pessimistic explanatory styles can develop and be influenced. Lyn Y. Abramson, Martin E.P. Seligman & John D. Teasdale (1978), Learned Helplessness in Humans: Critique and Reformulation , Journal of Abnormal Psychology , 87, 49–59. An important scientific article on the role of explanations and expectations in helplessness. Gregory Buchanan & Martin E.P. Seligman (eds.) (1995), Explanatory Style , Lawrence Erlbaum Associates. Scientific background on explanatory styles and the way people interpret positive and negative events. Also read Learned helplessness – when you start to expect that you have no influence anyway. Confirmation bias – why we more quickly notice information that confirms what we already believe. Cognitive dissonance – what happens when beliefs and experiences clash. Fear conditioning – how automatic fear responses can be learned. Framing – how the way information is presented affects how we understand it. Independent thinking – learning to examine what you think, know, and conclude for yourself.