The hottest Meta-analysis Substack posts right now

Replication and reproducibility crises exist in science and history, leading to widespread inaccuracies.
Historical myths and inaccuracies can persist for years, even when proven wrong.
There is a need for historians to improve transparency by making archival sources more accessible to reduce errors and biases.

Support for right-wing parties may increase after right-wing terrorist attacks, contrary to previous evidence on political violence.
Discrimination against women for jobs historically held by men has been non-existent since 2009, but there may still be bias in favor of female applicants.
Meta-analyses, like the one discussed, offer valuable insights when designed carefully and with expert input to avoid bias.

Fraud can happen in scientific research through deliberate misrepresentation of results.
Being critical in research is important, but it's crucial to back up claims with thorough analysis and evidence.
Failure to fully analyze data and make accurate conclusions can indicate either fraud or incompetence in a study.

The Science Fictions Substack shares interesting, amusing, and depressing bad-science links.
Scientific fields like Alzheimer's and physics face issues with scientific fraud and retractions.
Open Science practices like pre-registering studies can lead to high replication rates.

Literature reviews tend to be more highly cited than traditional research articles in academia and policy.
Literature reviews help consolidate isolated niches of research into more central ideas in academia.
Academic literature reviews can influence policy-making by providing a broader and more accurate picture of scientific findings.

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The ivermectin literature does not seem to be exceptionally fraudulent compared to other medical research.
Researchers who criticized ivermectin studies have not made their data available for scrutiny.
Concerns about the quality of research in the medical field in general are highlighted in this analysis.

The 10,000-hour rule, popularized by Malcolm Gladwell, suggesting practice alone leads to expertise has been debunked by recent studies showing talent and various factors play a significant role in skill acquisition.
Criticism towards the 10,000-hour rule came from meta-analyses in sports, revealing that practice only accounted for a small percentage of the difference in performance levels, emphasizing the contribution of genetics and other factors.
Understanding the limits of practice is crucial as it challenges the notion that anyone can excel if they put in enough effort, and highlights that success is influenced by multiple elements beyond just practice.