Keep It Simple, Segway -- Don't Team Up With GM

from the 2-wheels-are-better-than-3-or-4 dept

GM and Segway have demonstrated a 2-wheeled vehicle they call PUMA (Personal Urban Mobility and Accessibility). It's basically a bigger Segway that's smaller than a car, but bigger than a scooter because it seats 2 people side-by-side. Having recently visited Saigon (and seen Top Gear's Vietnam Special), I find the technological achievement of the PUMA to be absolutely ridiculous considering the time-tested utility of a 2-wheeled motorcycle (which can easily transport 2 people and zoom through insane traffic at the same time). In fact, the PUMA Project symbolizes many of the failures of the American auto industry. Instead of taking existing technologies and innovating by adapting them to suit practical needs, the PUMA Project simply takes an existing product and makes it bigger, not necessarily better. Okay, obviously, the PUMA Project is just a prototype and not meant for real world usage. But perhaps the time to show off impractical concept vehicles is not during one of the worst global recessions?

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  1. icon
    Derek Kerton (profile), 16 Apr 2009 @ 3:55pm

    Re: Re: Re: Re: Re: Re: Re: Re: Re: so true

    "If you have a population...in generaly you will have bias toward the certain product and away from the competing product." That's just not universally true at all. Each person is not being asked how they feel about Toyotas, they are being asked about their experience with the car they bought. Toyota owners asked about their Toyota, and Buick owners about their Buick.

    The question asked is "have you had problems with this car?" And then breaks it down into categories such as electrical, chassis, engine, etc. This does not bias the results towards the mode.

    With a lower number of responses for Buick, what you have is a larger confidence interval on your Buick results than on your Toyota results...but you don't have bias.

    Sure, the CR research may have some other form bias, as almost any research does. But you'd need to be an actuary or a statistician to whittle throught the intricacies of how they could improve their statistical model. Basically, for the layman, it can be considered quite sound.

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