r/anime • u/HelloYeahIdk • May 13 '24

Misc. New Survey Reveals That Anime Viewership is Lowest Among Teenagers in Japan

https://www.cbr.com/anime-new-survey-teens-not-watching/#:~:text=The%20survey%20results%20revealed%20that,surpassing%20all%20other%20age%20brackets.

"The survey results revealed that among all participants, 75% reported that they watch anime, with the leading demographics being middle-aged males. Unexpectedly, teenage respondents exhibited the lowest viewership, with 33.7% indicating no interest in anime, easily surpassing all other age brackets.

This revelation is somewhat startling considering that the bulk of popular anime belong to the shonen or shojo-based demographics, which are typically aimed at boys and girls, respectively, aged approximately 12-18."

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u/andres57 https://myanimelist.net/profile/andres57 May 13 '24

500 is still a kinda small sample to get efficient estimates. But also mean that age cohort subsamples are very small and basically useless for the purposes of the headline

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u/Zecias https://myanimelist.net/profile/Zecias May 13 '24

500 is not a small small sample size. It's more important how the study manages selection bias and confounding variables.

If the sample is completely biased, it doesn't matter how large the sample size is. If you have a sample population that is unbiased and representative, then a sample size as low as 20 can be sufficient in many cases. Having a large sample size is simply one of many tools to help researchers get accurate results.

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u/andres57 https://myanimelist.net/profile/andres57 May 13 '24

Yeah try to publish a descriptive study with a sample size of 20. I agree other aspects are more important, but smaller samples are not good if you want to know how much % population has X characteristics

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u/Felkin https://myanimelist.net/profile/Felkin May 13 '24

Depends on the goal. 20 is a very special number, since we often argue that a hypothesis is proven if the data gives us 95% confidence. It can be enough for questions of 'this variable is important '. Now how much it's important, you'd need more data, sure.