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Can someone explain why they're sure this is causation and not correlation? Intuitively it seems to me a happier person would be more inclined to spend money on
by sethbannon 9y ago
Can someone explain why they're sure this is causation and not correlation? Intuitively it seems to me a happier person would be more inclined to spend money on buying extra time than someone who's unhappy, who would be more inclined to spend on things or experiences.
- jonchang 9y agoWell, the text is free so you can just read the article... Though most of the paper's studies are based on observational and survey data, which is typically where the 'correlation is not causation' criticism is most effective, the authors actually perform a experiment. They give $40 to two groups of participants and task them to make a time-saving purchase and a material purchase, and survey their happiness after each purchase. Their results from this experiment are inconsistent with your proposed hypothesis as they've controlled for baseline happiness by randomizing the groups. See materials and methods, study 8 from the linked article. Edit: it's also in the abstract! "A field experiment provides causal evidence that working adults report greater happiness after spending money on a time-saving purchase than on a material purchase."
- kiith_naabal 9y agoIt's a good point, though they did also measure how time-stressed people felt. People who felt time-poor but didn't buy time-saving services had poorer life satisfaction. If you were time stressed and bought the services, you were protected from some of the negative effects. "In contrast, for respondents who spent money on time-saving purchases (n = 804), the negative effect of time pressure on life satisfaction was relatively weak, B = −0.03, Z = 1.46, P = 0.144, 95% CI (−0.08, 0.01). These results suggest that using money to buy time indeed buffers people from the negative effects of time stress on well-being."
- j7ake 9y agoExperiments never show causation. The caution comes from interpretation of the data, which varies between scientist to scientist. You could say the additional experiments they did were not sufficient evidence but the proper response should be a suggestion of a new experiment that would convince you rather than saying "correlation is not causation ".
- sgt101 9y agoIf a theory makes a new and novel prediction which is then confirmed by experiment that is often seen as casualty.
- j7ake 9y agoExperiments never show causation. The caution comes from interpretation of the data, which varies between scientist to scientist. You could say the additional experiments they did were not sufficient evidence but the proper response should be a suggestion of a new experiment that would convince you rather than saying "correlation is not causation ".