A recent magazine article argued that most companies that do not already own videoconferencing equipment would be wasting their money if they purchased it. ████████ ████ ██ ███████ ███ █████ ██ █ ██████ ██████ ██ ██████████ ████ ████ █████████ ████ ██████████ ████ ██ ███ ███████████ ██████ ████ ███ █████████████████ █████████ ███ ████ █████ ███ █████
The author concludes that the article is wrong. As support, she cites a recent survey of businesses that bought videoconferencing equipment; most respondents said it was worth the cost.
This is the cookie-cutter flaw of using an unrepresentative sample, where a conclusion about a group is based on a sample that is likely meaningfully different from the group.
There are two reasons that the sample could be meaningfully different from “most companies.”
(1) The survey only includes companies who have purchased the equipment. Presumably these companies needed the equipment. This doesn’t mean “most companies” wouldn’t be wasting their money; maybe most companies don’t need it.
(2) It’s possible that only companies that were happy with the equipment responded to the survey, so the “respondents” are even less reflective of the whole group.
The reasoning in the argument ██ ██████ ██ ████ ███ ████████
concludes that something ██ █████ ███ ████ ██████ ██ ███ ███████ ████ ████ ██████████ ████ █████████ ██
takes a condition ██████████ ██ ███████ ██████████ ██████ █████████ ██ ██ █████████ ██ █████ ███ ███ ████ ██ ███ ████████ ██ ██ █████████
rejects a position ██████ ██ ███ ███████ ████ ██ ██████████ ████████ ███ ████ █████ ███ ██
relies on a ██████ ████ ██ ██ ██████████ ██ ███████ ██ ████████████████ ██ ███ █████ █████ █████ ██ █████ ███ ██████████
confuses the cost ██ ██ ████ ████ ███ █████ ██ ███ █████████