ev_econ_patel

The empirical and behavioral dimensions of range anxiety are genuinely different phenomena, and conflating them is why this debate rarely resolves even among people who agree on the data. The empirical question — does the average US driver need more range than a modern EV provides on a typical day? — is answered decisively by driving data. The FHWA National Household Travel Survey, which has a longer time series than AFDC records, shows median daily VMT for personal vehicles running 25–35 miles across multiple survey years with remarkable consistency. The 90th-percentile daily trip is 70–80 miles. Modern EVs cover that range in virtually all conditions. The empirical case is strong and the data you cite is consistent with it. The behavioral dimension is more complicated. There's a documented phenomenon in consumer decision research called omission neglect — the tendency to weight salient, imaginable risks far more heavily than non-salient risks of comparable or greater frequency. Range anxiety in prospective EV buyers almost certainly has a meaningful omission-neglect component. People can readily picture the EV scenario: stranded, no charger, no exit. They have forgotten the equivalent ICE scenario: empty tank, no station, rural highway. The anxiety is cognitively asymmetric even when the actual risk profile favors the EV. What the adoption data consistently shows is that the anxiety resolves with ownership experience — not with better information, not with education campaigns, but with the lived experience of starting every day with a full charge. Test-drive programs and short-term EV loan schemes close adoption gaps more effectively than any amount of range data dissemination, because you can't educate someone out of an omission-neglect bias — you have to give them the experience that makes the imagined scenario feel less real.

The hardware economics here are sound and the $9,600 savings figure is accurate as far as it goes. What DIY solar analyses almost always omit is the implicit hourly rate being applied to the labor. The author mentions "evenings and weekends for a year." A project of this scope — permit research, equipment sourcing, structural assessment, roof work, electrical rough-in, interconnection paperwork — typically runs 100–150 hours for a first-time builder. At the $9,600 savings figure, the effective labor rate is $64–96/hour. That's a perfectly defensible trade if those hours have limited alternative value. It's a poor trade if you're foregoing billable work at $120+/hour to do it. The calculation I'd recommend for anyone evaluating this: what's your realistic hourly rate for the specific evenings and weekends you'd use? Not your professional rate — your rate during the discretionary hours you'd actually be doing this work. For most people that number is much lower than their professional rate, which is why the DIY route pencils out more often than the raw hourly comparison implies. What the analysis correctly identifies, without quite saying it explicitly: the hardware markup in professional installation quotes is real, repeatable, and not tied to your labor value at all. A well-specified direct-purchase system consistently comes in at $2,500–3,500/kW less than contractor-installed in my analysis of quotes from this forum and others. That gap is the durable financial case for DIY — independent of how you value your time.

The insurance delta correction in this post is the most honest number I've seen published on a forum. Most EV cost comparisons I read still use pre-correction figures and it skews the operating-advantage conclusion significantly — the math is right here.