Archive for bad graph

brain overload

Posted in Books, pictures with tags , , , on May 2, 2022 by xi'an

how to count excess deaths?

Posted in Books, Kids, pictures, Statistics with tags , , , , , , , , , , , , , , , on February 17, 2022 by xi'an

Another terrible graph from Nature… With vertical bars meaning nothing. Nothing more than the list of three values and both confidence intervals. But the associated article is quite interesting in investigating the difficulties in assessing the number of deaths due to COVID-19, when official death statistics are (almost) as shaky as the official COVID-19 deaths. Even in countries with sound mortality statistics and trustworthy official statistics institutes. This article opposes prediction models run by the Institute for Health Metrics and Evaluation and The Economist. The later being a machine-learning prediction procedure based on a large number of covariates. Without looking under the hood, it is unclear to me how poor entries across the array of covariates can be corrected to return a meaningful prediction. It is also striking that the model predicts much less excess deaths than those due to COVID-19 in a developed country like Japan. Survey methods are briefly mentioned at the end of the article, with interesting attempts to use satellite images of burial grounds, but no further techniques like capture-recapture or record linkage and entity resolution.

Sousaphonic graph!

Posted in Books, pictures, Statistics with tags , , , , , , , , , , on January 17, 2022 by xi'an

another terrible infographic [jatg]

Posted in Statistics with tags , , , , , , on December 14, 2021 by xi'an

worst colour scale?

Posted in Books, Kids, pictures with tags , , on November 11, 2021 by xi'an

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