Explain SMBC — the wiki for Saturday Morning Breakfast Cereal

Error

2021-02-15 View on smbc-comics.com → 1 revision
Error
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This explanation is incomplete or may contain errors. It was generated by AI and has not yet been reviewed by a human editor.

Explanation

The Joke

A person is presenting a paper to another person who appears to be a reviewer or colleague. The reviewer says: "This paper is ridiculous. Where are your error bars?" The presenter starts listing types of errors: "There is McDonald's, there is the pub and whistle, oh and the south street tap room, lots of errors there..."

The reviewer interrupts: "No! The bars where you make errors -- your statistical error bars!" The presenter responds: "They are absent because I don't drink."

The joke is a double meaning of the phrase "error bars." In scientific contexts, error bars are graphical representations on charts that show the variability or uncertainty of data. But the presenter interprets "error bars" literally as bars (drinking establishments) where one makes errors (mistakes) -- places where people drink too much and do regrettable things. When asked about statistical error bars specifically, the presenter claims they have none because they do not drink, conflating the absence of drunken mistakes with the absence of statistical uncertainty.

The Humor

The comedy works through a pun that bridges two completely different worlds: scientific methodology and nightlife. The initial misunderstanding is funny on its own -- imagining a scientist earnestly listing local pubs when asked about data visualization. But the second layer makes it even better: the presenter's claim that they have no error bars "because I don't drink" implies that they genuinely believe their data has zero uncertainty, which is a cardinal sin in science. The joke thus works both as a silly wordplay gag and as a subtle dig at researchers who fail to properly account for uncertainty in their work.

References

Error bars are a standard feature of scientific data visualization, typically representing standard deviation, standard error, or confidence intervals. Their absence from a scientific paper would indeed be a serious methodological concern, as they communicate how reliable and reproducible the reported measurements are. Omitting error bars is a common criticism in peer review.

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