He/Him

Sneaking all around the fediverse.

Also at:
breakfastmtn@lemmy.ca
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breakfastmtn@pixelfed.social

  • 47 Posts
  • 22 Comments
Joined 8 months ago
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Cake day: June 13th, 2025

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  • The issue isn’t really that the estimate is wrong, it’s that it’s wrong by an enormous amount – and one that’s been increasing every year. I don’t think that the study is trying to say that these vehicles are inefficient as some kind of absolute judgment, but that they’re less efficient than estimated (although there are big differences based on vehicle make and model).

    I don’t think the problem really lies with manufacturers, it’s that the current tests aren’t accurate enough to predict real-world usage closely enough. Although, driver input is mediated by computer systems and if on-board systems are being too aggressive in switching over to ICE, I suppose that’s a manufacturers problem.

    Really, they’ve been doing these very large studies for a long time. The sample size is large enough to capture the full diversity of driving styles and it cannot be a few outliers skewing results. Since 2012, the disparity between estimated and observed fuel usage has grown every year. Why? Why is it changing and why is it always changing in the same direction?





  • If Apple were dismissing half their users as outliers, I still think people would be pretty pissed…

    For the average PHEV driver, they probably get close to the mfg estimate when driven as expected but the generalized data encompasses non standard users.

    Based on what though? Is this just an assumption?

    I’d like to see the population in the sample for this study.

    Unfortunately (and annoyingly), the Guardian doesn’t link to the study. I took a quick look and found a similar study from 2022 (PDF) but nothing recent. Their conclusions are similar and they do differentiate between private and fleet vehicles.