The asymmetry in this decision is one of the cleanest in the corpus: the worst plausible outcome from taking a rideshare home is a $30 fare and the inconvenience of retrieving your car the next morning, while the worst plausible outcome from driving after drinking is a fatal crash, a DUI conviction that NHTSA estimates can run upwards of $10,000 in attorney’s fees, fines, court costs, and higher insurance, plus license loss and possible jail, or the lifelong regret of having killed someone. The AAA 2024 Traffic Safety Culture Index found that 93% of US drivers view driving after drinking as very or extremely dangerous, yet 7% admit having done it in the past 30 days — an 86-point gap between perceived danger and own behaviour that is the largest in the impaired-driving section of the survey. That gap is the structural signal for the inaction-side regret rate.
The action side is grounded in the rideshare-adoption literature, though less directly than the inaction side. MADD’s 2015 survey found that 93% of people would recommend Uber as a safer way home to a friend who had been drinking, and 78% said friends are less likely to drive drunk since rideshare services arrived in their city. Cities with rideshare introduction have seen measurable drops in alcohol-related harm: motor-vehicle-collision trauma in Houston fell roughly 24% on Friday and Saturday nights after Uber entered that market in 2014. No survey asks rideshare users directly whether they regret the choice; the headline 7% is a rough proxy — the complement of that 93% recommend-rate figure — for riders who would not personally endorse rideshare as the safer option, not a measured regret rate.
The Gilovich inaction-dominates pattern holds here, but it is the magnitude of the asymmetry that does the work rather than the long-term-versus-short-term temporal split. A retrospective regret over “I should have just called the Uber” carries far more weight when it sits beside a hospital chart or a DUI conviction than when it sits beside a $30 receipt. The decision is most fragile in two settings: when rideshare cost is high relative to income (suburban areas with surge pricing, rural areas with limited service), and when alcohol intake was modest enough that the driver genuinely cannot tell whether they are over the legal limit — a region of subjective experience where calibration is documented to fail. The clean recommendation in the literature is to pre-commit to the rideshare decision before drinking begins; in-the-moment decisions after drinking systematically underweight the worst-case downside.