The hottest Empirical Studies Substack posts right now

And their main takeaways
Category
Top Business Topics
Never Met a Science 61 implied HN points 06 Jan 25
  1. Academic research often focuses heavily on citing previous works, sometimes forgetting to build on fresh ideas. It's important to also look forward and explore new questions.
  2. There’s a debate about how much theory should inform empirical research. Striking a balance between solid theory and real-world relevance is crucial for effective studies.
  3. The conventions of academic writing can limit exploration of current issues in digital media. Researchers should prioritize relevant topics instead of strictly following old academic norms.
Unsafe Science 54 implied HN points 24 Dec 24
  1. Psychological research has produced valuable insights that can enhance our understanding of human behavior. It's important to pay attention to these findings.
  2. Some claims made in the social sciences are questionable and need to be critically evaluated. Not everything that is published is reliable.
  3. There's ongoing debate about the quality of psychological studies, so it's good to be skeptical and look for well-supported evidence.
The Counterfactual 79 implied HN points 29 Dec 23
  1. The Counterfactual had a successful year, growing its readership significantly after a popular post about large language models. It’s great to see how sharing knowledge can attract more people.
  2. Key posts focused on topics like construct validity and the understanding of large language models. These discussions are crucial for improving how we evaluate and understand AI technology.
  3. In 2024, the plan includes more posts and introducing paid subscriptions that allow subscribers to vote on future research projects. This will encourage community participation in exploring interesting ideas.
The Counterfactual 59 implied HN points 08 Feb 24
  1. The poll showed that readers are interested in how well large language models (LLMs) can change the readability of texts. This will be explored further in a detailed study.
  2. The study will involve real people judging how easy or hard the modified texts are to read. This is important because readability is something people understand best.
  3. Updates on the study will be shared about once a month, along with regular posts on other topics related to language processing and understanding.
Joshua Gans' Newsletter 0 implied HN points 04 Sep 16
  1. The book 'Streaming Sharing Stealing' by Mike Smith and Rahul Telang offers valuable lessons in the digital economy, particularly in the entertainment industry, emphasizing the importance of understanding and utilizing data properly.
  2. Entertainment executives often made critical errors due to not trusting data analytics for decision-making, relying instead on outdated assumptions and untested suppositions.
  3. Studies, like Sandra Barbosu's research, show that big data can provide valuable insights to industries like movie studios, helping them predict box office success and avoid producing movies that underperform.
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