The hottest Bias Substack posts right now

And their main takeaways
Top U.S. Politics Topics
Common Sense with Bari Weiss 2040 implied HN points 19 Mar 24
  1. Google's new AI tool, Gemini, produced biased results in image searches, reflecting the larger issue of the company's culture prioritizing ideologies over excellence.
  2. Former Google employees, including high-profile individuals like Shaun Maguire, expressed concerns over Google's push for diversity, equity, and inclusion leading to compromises in quality and standards.
  3. The fallout from the Gemini AI debacle at Google highlighted the importance of balancing inclusivity with maintaining product quality and unbiased information for users.
Marcus on AI 2603 implied HN points 21 Feb 24
  1. Google's large models struggle with implementing proper guardrails, despite ongoing investments and cultural criticisms.
  2. Issues like presenting fictional characters as historical figures, lacking cultural and historical accuracy, persist with AI systems like Gemini.
  3. Current AI lacks the ability to understand and balance cultural sensitivity with historical accuracy, showing the need for more nuanced and intelligent systems in the future.
Popular Information 14151 implied HN points 16 Oct 23
  1. Scholastic faces criticism for potentially excluding books featuring people of color and LGBTQ characters from book fairs.
  2. Scholastic claims to segregate books due to pending legislation in U.S. states, risking exclusion for teachers and librarians.
  3. There is a backlash against Scholastic from publishers like Brave Books that promote different values and books for children.
Singal-Minded 1268 implied HN points 29 Feb 24
  1. Adam Rubenstein was treated unfairly in his journalistic career due to misinformation spread by his own colleagues.
  2. The incident involving Rubenstein's sandwich preference was used as a focal point to smear him professionally, showcasing a lack of empathy and journalistic integrity in some of his peers.
  3. The response from certain journalists highlights a lack of reflection and remorse in the industry, pointing to broader issues concerning truth and fair reporting in journalism.
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TK News by Matt Taibbi 28947 implied HN points 06 Apr 23
  1. MSNBC shifted from reporting provable facts to spreading misinformation from politicians and intelligence officials.
  2. The network doubled down on false narratives about Trump-Russia collusion even after the collapse of the Mueller investigation.
  3. Hiring contributors who had perpetuated misinformation led to a reputation-tarnishing downfall for MSNBC.
Pen>Sword 1937 implied HN points 20 Dec 23
  1. Piers Morgan is criticized for his coverage of Gaza, accused of exploiting the situation for personal gain.
  2. Morgan is accused of focusing on sensationalism, ratings, and controversy rather than providing balanced journalism on the Palestinian perspective.
  3. Critics argue that Piers Morgan's approach to discussing the Gaza crisis shows a lack of understanding and sensitivity towards the complexities of the situation.
Pessimists Archive Newsletter 530 implied HN points 08 Feb 24
  1. In 1908, some dismissed the idea of flying machines heavier than air, underestimating their potential usefulness.
  2. The 'Beta Bias' is the tendency to underestimate the potential of new technologies by comparing them to established alternatives.
  3. Every nascent innovation has the potential for growth and improvement, often underestimated in early comparisons.
From the New World 301 implied HN points 23 Feb 24
  1. Google's Gemini AI model displays intentional ideological bias towards far-left viewpoints.
  2. The Gemini paper showcases methods used by Google to create ideological biases in the AI, also connecting to Biden's Executive Order on AI.
  3. Companies, like OpenAI with GPT-4, may adjust their AI models based on public feedback and external pressures.
David Friedman’s Substack 341 implied HN points 13 Feb 24
  1. Consider forming opinions on controversial issues based on evaluating arguments rather than just trusting the experts
  2. Experts may not always have expertise in all aspects of an issue, so it's important to critically evaluate their arguments and not just rely on their authority
  3. It's crucial to judge both arguments and arguers, as bias and incentives can influence the opinions of experts in controversial topics
News from Those Nerdy Girls 314 implied HN points 02 Feb 24
  1. Ad hominem attacks insult a person's motive or character instead of addressing the content of an idea or argument.
  2. Ad hominem attacks create distrust of the individual and divert attention away from the actual issue.
  3. To combat bias from ad hominem attacks, focus on facts, recognize diversion tactics, and practice self-reflection.
Cremieux Recueil 90 implied HN points 21 Feb 24
  1. Some Black African students in the UK perform better on GCSE exams than on IQ tests, leading to a puzzle that is not easily explained by sampling differences.
  2. The discrepancy between GCSE performance and general intelligence indicates that GCSEs may be biased indicators of intelligence, favoring certain groups over others.
  3. Psychometric bias might explain why Black Africans in the UK excel in GCSEs despite IQ tests suggesting otherwise, highlighting the presence of biases in assessment methods.
Good Reason 227 implied HN points 13 Dec 23
  1. Regardless of how well you know a situation, remember your knowledge is just a map and not reality itself.
  2. Be cautious of projecting your biases onto situations to force them to fit your preconceived notions.
  3. Acknowledging and being aware of your own potential biases can help prevent misunderstandings and misinterpretations.
Vinay Prasad's Observations and Thoughts 77 implied HN points 06 Feb 24
  1. Test negative case control studies may not be reliable for assessing vaccine effectiveness
  2. Consider the biases present in test negative case control studies
  3. To assess vaccine efficacy, randomized trials are crucial and should be prioritized over test negative case control studies
Rod’s Blog 39 implied HN points 28 Feb 24
  1. GPT models have revolutionized natural language processing, opening new opportunities in technology and communication.
  2. Developer activists have been exploiting GPT models for various reasons, like gaining unauthorized access to APIs, which raises ethical questions.
  3. The power of GPT models comes with significant responsibility to ensure appropriate use and prevent potential misuse.
The Column 963 implied HN points 22 Feb 23
  1. The definition of 'activism' can vary depending on the political stance.
  2. Elite reporters struggle to define the line between journalism and activism, relying on a vague 'vibe' instead of clear principles.
  3. Despite claiming impartiality, some journalists display clear ideological bias in their reporting.
The Uncommon Executive 19 implied HN points 07 Mar 24
  1. Affinity bias, confirmation bias, and negativity bias combined create a self-fulfilling loop that can hinder career progression for minorities.
  2. Implicit biases often show up in actions not taken or opportunities not given, making them challenging to identify and address.
  3. Small biases, left unchecked, can compound over time and lead to lack of diversity at the executive level, making it crucial for both current and aspiring leaders to actively combat biases.
Science Forever 358 implied HN points 11 May 23
  1. Scientific research is a collaborative and iterative process involving diverse perspectives, not just individual 'Eureka' moments.
  2. Acknowledging the human element in science, including errors, helps build public trust and improve the scientific process.
  3. Diverse backgrounds and identities among scientists lead to more robust research outcomes, faster consensus building, and fairer implications for all.
Venture Prose 359 implied HN points 26 Feb 23
  1. Entrepreneurs need a variety of support and feedback from different types of people in their circle, including friends, family, collaborators, and external contacts.
  2. Effective communication with one's circle involves sharing, confiding, and receiving feedback authentically and purposefully.
  3. Being aware of biases in interactions and being open to feedback and self-reflection can help entrepreneurs navigate their relationships and improve their decision-making.
Cybernetic Forests 199 implied HN points 04 Jun 23
  1. Norbert Wiener, the founder of cybernetics, emphasized the importance of studying feedback and response rather than seeking stability in systems.
  2. The discussions around AI and existential risks often prioritize hypothetical future scenarios over addressing present-day human suffering and feedback mechanisms.
  3. The culture of safety engineering in AI tends to focus on abstract future catastrophes, potentially overshadowing the immediate impacts on communities and individuals.
New Things Under the Sun 224 implied HN points 31 Mar 23
  1. Scientific institutions may be risk-averse and favor safe and incremental projects over transformative ones.
  2. Individual reviewers and averaging peer review scores may bias against high-risk, high-reward research proposals.
  3. In grant review processes, negative feedback tends to be more influential than positive feedback, leading to potential bias against novel research.
Cybernetic Forests 379 implied HN points 02 Oct 22
  1. AI-generated images are informative about the underlying dataset and the human decisions shaping it.
  2. When analyzing AI images, it's crucial to consider the dataset's cultural, social, economic contexts, and how they influence the output.
  3. A methodology involving creating sample sets, content analysis, database exploration, and connotative analysis can help interpret the underlying biases and limitations in AI-generated images.
G. Elliott Morris's Newsletter 157 implied HN points 27 Feb 23
  1. Aggregating public opinions may mean slightly less accurate election forecasts, which is acceptable.
  2. Polls dramatically overperformed expectations in the 2022 midterms, despite popular misconceptions.
  3. It's important to be cautious of biased pollsters and consider the methodology, credibility, and track record of pollsters before including their data in models.