Less Likelyis creating health science articles.
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You get early access to all posts before they're out, access to my exclusive newsletter where I send health science content along with commentary, and my forever gratitude!
You get all the benefits from 'Nature Lover' along with exclusive access to new methodology/statistical 'explainer' articles that can better help you interpret science research.
You get all previous benefits in addition to communication with me about any health science topics along with your name displayed in the acknowledgement section of the website and Patreon.
With the presence of a system that incentivizes novel findings and journalists looking to quickly draft a piece to meet deadlines, you get a vicious cycle that creates hype but not much substance.
Less Likely was created to combat this hype and to take a deep dive look at both newly published papers and their coverage by the media. Unlike other sources that attempt this, Less Likely does not shy away from the statistical methods of these studies.
The core philosophy of this site is built around statistics, so you can expect a lot of takes from leading statisticians, epidemiologists, and clinical trialists. But these discussions won't only be written for statistically savvy individuals, they're written for both researchers and the general public, so that they can take away several things:
- validity of the design and analyses
- applicability of the findings to the general population
- accuracy of the interpretations of the study authors
- accuracy of the coverage by journalists
Therefore, the goal of this site is to cover popular health science studies and their coverage by the media every week so that eventually readers will develop their own toolkit for evaluating studies.
To get a sense of what this site produces, check out some of these articles:
- The Bradford Hill Criteria Don't Hold Up
- Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
- To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
Consider becoming a patron today to help support the costs of the website, to get early access to posts, to get special newsletters, and to even help choose which new studies should be covered by the site.