Decide whether to move by evaluating the career upside on a three-year horizon, testing the reversibility (can you move back if needed?), and separating the genuine social costs from affective forecasting errors. People consistently overestimate how much they will miss what they are leaving. The move is rarely as irreversible — or as disruptive — as it feels at the point of decision.
The irreversibility trap
Most people treat a decision to move cities as more permanent than it actually is. This is a version of status quo bias — the tendency to weight the current state more heavily than the alternatives, and to experience departure from it as a loss rather than an option. The cognitive result is that the move feels irreversible even when it is not.
Jeff Bezos's two-door framework is useful here. Is this a Type 1 decision (truly irreversible) or a Type 2 decision (reversible with cost)? For most people, moving to a new city is Type 2. The costs of reversing — financial, social, professional — are real, but they are not prohibitive, and they are almost always recoverable over a two-to-three-year horizon. Treating a Type 2 decision as Type 1 produces excessive hesitation.
The exceptions are genuine: if the move requires your partner to leave a job they cannot easily return to, if you own property in your origin city that you would need to sell, or if your field has a non-compete that restricts your geography. These create actual irreversibility. Absent those conditions, the move is more reversible than it feels.
What actually predicts satisfaction in a new city
The research on relocation and life satisfaction identifies a consistent pattern. The variables that predict long-term satisfaction are not the ones that dominate the pre-move evaluation. Physical amenities (weather, food, infrastructure) are visible before the move and feel significant. They matter less over time. The variables that matter most over a three-to-five year horizon are the quality of your professional network in the new city, the depth of social relationships you can build there, and whether the new environment removes constraints that were limiting your growth in the origin city.
Career benefits tend to compound in ways that are hard to model pre-move: access to a different calibre of employer, proximity to a professional community in your field, removal of geographic limitations on your earning potential. Social costs follow the J-curve pattern: they are acute in the first six to twelve months, then typically recover and often exceed the pre-move baseline as new relationships form.
Affective Forecasting Error
Affective forecasting is the process of predicting how future events will make you feel. Daniel Kahneman and his colleagues have documented that people systematically overestimate the emotional impact of both positive and negative future events — a phenomenon called "impact bias." Applied to city moves, this means you will likely overestimate both how much you will miss your current city and how exciting the new one will be. The practical implication: reduce the weight you give to imagined emotional states when making the decision. Focus instead on observable structural variables: career access, financial trajectory, and reversibility.
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