The hottest Bias Substack posts right now

Users prefer coherent responses over detailed ones for helpfulness, highlighting the importance of logical structuring in AI output.
Controversial content can be associated with criminality, suggesting that engaging material may overlap with unlawful topics.
Bias from model choices, like using GPT-3.5 Turbo, can impact metric correlations, emphasizing the need for acknowledging biases in AI evaluation.

The scientific enterprise faces issues like bias, fraud, negligence, and hype that hinder knowledge building and lead to negative consequences.
Scientists often struggle with careerism, which can influence them to commit fraud, exaggerate findings, or neglect opposing evidence.
Proposed solutions to the problems in science include individual vigilance against biases, institutional and cultural reforms, and increased collaboration to transcend individual limitations.

Focus on issues relevant to your audience to have a bigger impact.
Protesters may focus on one side due to logistical reasons, group demographics, or the nature of their cause.
Repeated arguments over only protesting one side are common but tend to detract from the main issue at hand.

Academic research often prioritizes getting published over exploring interesting questions. Researchers might choose to work on safe topics that are easier to publish instead of tackling big, challenging ideas.
Bias can affect research outcomes. Researchers bring their own perspectives and preconceptions, which can influence what they study and how they interpret data.
The educational background and connections of a researcher can greatly impact their chances of getting published. Those from elite institutions or who have influential mentors often have better success in the publishing world.