I was very skeptical from the beginning, for largely similar reasons I expressed in my posts. But first I told myself that I should stay a little longer.
IME, in the majority of cases, when I strongly felt like quitting but was also inclined to justify “staying just a little bit longer because XYZ”, and listened to my justifications, staying turned out to be the wrong decision.
Little is known about whether people make good choices when facing important decisions. This paper reports on a large-scale randomized field experiment in which research subjects having difficulty making a decision flipped a coin to help determine their choice. For important decisions (e.g. quitting a job or ending a relationship), those who make a change (regardless of the outcome of the coin toss) report being substantially happier two months and six months later. This correlation, however, need not reflect a causal impact. To assess causality, I use the outcome of a coin toss. Individuals who are told by the coin toss to make a change are much more likely to make a change and are happier six months later than those who were told by the coin to maintain the status quo. The results of this paper suggest that people may be excessively cautious when facing life-changing choices.
Pretty much the whole causal estimate comes down to the influence of happiness 6 months after quitting a job or breaking up. Almost everything else is swamped with noise. The only individual question with a consistent causal effect larger than the standard error was “should I break my bad habit?”, and doing so made people unhappier. Even for those factors, there’s a lot of biases in this self-report data, which the authors noted and tried to address. I’m just not sure what we can really learn from this, even though it is a fun study.
IME, in the majority of cases, when I strongly felt like quitting but was also inclined to justify “staying just a little bit longer because XYZ”, and listened to my justifications, staying turned out to be the wrong decision.
Relevant classic paper from Steven Levitt. Abstract [emphasis mine]:
Pretty much the whole causal estimate comes down to the influence of happiness 6 months after quitting a job or breaking up. Almost everything else is swamped with noise. The only individual question with a consistent causal effect larger than the standard error was “should I break my bad habit?”, and doing so made people unhappier. Even for those factors, there’s a lot of biases in this self-report data, which the authors noted and tried to address. I’m just not sure what we can really learn from this, even though it is a fun study.