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"content": "<p>Have government measures to combat <a href=\"https://mstdn.science/tags/COVID19\" class=\"mention hashtag\" rel=\"tag\">#<span>COVID19</span></a> had any effect? The researchers used multiverse analyses, analysed daily data on 16 government measures in 181 countries and built, 99736 analytical models:</p><p>:doi: <a href=\"https://doi.org/10.1126/sciadv.adn0671\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">doi.org/10.1126/sciadv.adn0671</span><span class=\"invisible\"></span></a> </p><p>The result is that the authors found no evidence that government measures have helped contain COVID-19. Have a look at the figure – it's not even zero, but rather a little bit of damage!</p><p><a href=\"https://mstdn.science/tags/government\" class=\"mention hashtag\" rel=\"tag\">#<span>government</span></a> <a href=\"https://mstdn.science/tags/responses\" class=\"mention hashtag\" rel=\"tag\">#<span>responses</span></a> <a href=\"https://mstdn.science/tags/pandemic\" class=\"mention hashtag\" rel=\"tag\">#<span>pandemic</span></a> <a href=\"https://mstdn.science/tags/politics\" class=\"mention hashtag\" rel=\"tag\">#<span>politics</span></a> <a href=\"https://mstdn.science/tags/losers\" class=\"mention hashtag\" rel=\"tag\">#<span>losers</span></a></p>",
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"uk": "<p>Have government measures to combat <a href=\"https://mstdn.science/tags/COVID19\" class=\"mention hashtag\" rel=\"tag\">#<span>COVID19</span></a> had any effect? The researchers used multiverse analyses, analysed daily data on 16 government measures in 181 countries and built, 99736 analytical models:</p><p>:doi: <a href=\"https://doi.org/10.1126/sciadv.adn0671\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">doi.org/10.1126/sciadv.adn0671</span><span class=\"invisible\"></span></a> </p><p>The result is that the authors found no evidence that government measures have helped contain COVID-19. Have a look at the figure – it's not even zero, but rather a little bit of damage!</p><p><a href=\"https://mstdn.science/tags/government\" class=\"mention hashtag\" rel=\"tag\">#<span>government</span></a> <a href=\"https://mstdn.science/tags/responses\" class=\"mention hashtag\" rel=\"tag\">#<span>responses</span></a> <a href=\"https://mstdn.science/tags/pandemic\" class=\"mention hashtag\" rel=\"tag\">#<span>pandemic</span></a> <a href=\"https://mstdn.science/tags/politics\" class=\"mention hashtag\" rel=\"tag\">#<span>politics</span></a> <a href=\"https://mstdn.science/tags/losers\" class=\"mention hashtag\" rel=\"tag\">#<span>losers</span></a></p>"
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"name": "Distribution of standardized effect sizes for all analyses and selected groups.\n\nThe t-statistics are used as a proxy for the standardized effect size of different models. The count of models with t-statistics in each interval [x, x + 0.25) for x ranging from −20 to +20 is shown in each panel (intervals with 0 models are not shown). The portion of the models that are significant using the false discovery rate is represented by the shade. In (A), for example, the t-statistic interval with the largest count of models is between 0.75 and 1.00. None of those models are significant. Panel (A) includes all models; (B) includes models for the year 2020; (C) includes models with the stringency index as the predictor; (D) includes models with cases as the outcome; (E) includes models designed to assess the relationship between the policy level and the outcome level (model 1); and panel (F) includes models designed to assess the relationship between the policy level and the change (growth) in the outcome (model 4).\n\nBendavid, E., & Patel, C. J. (2024). Epidemic outcomes following government responses to COVID-19: Insights from nearly 100,000 models. Science Advances, 10(23). https://doi.org/10.1126/sciadv.adn0671\n",
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"updated": "2022-11-11T14:35:22Z",
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