The hottest Bias Substack posts right now

And their main takeaways
Category
Top U.S. Politics Topics

NPR hasn't gotten more liberal. It's become more capital-D Democratic

White Hot Harlots • 239 implied HN points • 22 Apr 24
🇺🇸 U.S. Politics Media Bias Partisanship Identity politics Liberalism
  1. NPR has shifted towards being more aligned with the Democratic party rather than being more traditionally liberal in its coverage.
  2. Commercial networks may avoid certain topics due to financial interests, whereas NPR's funding model allows it to cover a wider range of issues without worrying about ratings.
  3. The dynamics and messaging within the Democratic party have changed, leading to NPR reflecting this shift by emphasizing identity issues and being less critical of establishment Democrats.

Google’s Woke AI Wasn’t a Mistake. We Know. We Were There.

Common Sense with Bari Weiss • 2040 implied HN points • 19 Mar 24
💼 Business Corporate culture Diversity Bias Tech industry
  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.

Has Google gone too woke? Why even the biggest models still struggle with guardrails

Marcus on AI • 2603 implied HN points • 21 Feb 24
🕹 Technology AI Ethics Data Bias Machine Learning
  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.

Scholastic's "bigot button"

Popular Information • 14151 implied HN points • 16 Oct 23
🇺🇸 U.S. Politics Censorship Education Bias Diversity Legislation
  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.
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If You Can’t See That Adam Rubenstein Was Treated Unfairly, You’re Being A Jerk

Singal-Minded • 1268 implied HN points • 29 Feb 24
🇺🇸 U.S. Politics Media Journalism Opinion Ethics Bias
  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.

MSNBC Sucks

TK News by Matt Taibbi • 28947 implied HN points • 06 Apr 23
🇺🇸 U.S. Politics Media News Opinion Investigation Bias
  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.

Do You Condemn Piers Morgan?

Pen>Sword • 1937 implied HN points • 20 Dec 23
🇺🇸 U.S. Politics Media Islamophobia Genocide Bias Free speech
  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.

Aeroplanes, Airships and Beta Bias

Pessimists Archive Newsletter • 530 implied HN points • 08 Feb 24
🕹 Technology Innovations Comparisons Bias Aviation History
  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.

Google Gemini’s Woke Catechism

From the New World • 301 implied HN points • 23 Feb 24
🕹 Technology AI Machine Learning Ethics Government Policy Bias
  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.

Me vs Huemer

David Friedman’s Substack • 341 implied HN points • 13 Feb 24
📖 Philosophy Epistemology Ethics Logic Bias Experts
  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

What is an ad hominem attack?

News from Those Nerdy Girls • 314 implied HN points • 02 Feb 24
🚌 Education Logic Bias Critical Thinking Media Literacy Communication
  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.

Explaining Anomalous GCSE Results

Cremieux Recueil • 90 implied HN points • 21 Feb 24
🚌 Education Testing Intelligence Bias
  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.

When Your Map Doesn't Match Reality

Good Reason • 227 implied HN points • 13 Dec 23
📖 Philosophy Reality Logic Hypocrisy Maps Bias
  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.

Does the kids COVID vaccine work? Does the XBB1.5 booster work? Test negative case control studies are prone to bias

Vinay Prasad's Observations and Thoughts • 77 implied HN points • 06 Feb 24
🏥 Health & Wellness Bias
  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

The Double-Edged Sword of GPT Models: Navigating Developer Activism and Bias

Rod’s Blog • 39 implied HN points • 28 Feb 24
🕹 Technology AI Ethics Development Models Bias
  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.

To NYT’s Peter Baker, Acknowledging Trans People’s Existence Is “Activism,” Openly Advocating for Perpetual U.S. Occupation of Afghanistan Isn’t

The Column • 963 implied HN points • 22 Feb 23
🇺🇸 U.S. Politics Activism Journalism Bias Trans rights
  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.

How Implicit Biases Compound for Aspiring Executives

The Uncommon Executive • 19 implied HN points • 07 Mar 24
💼 Business Bias Diversity Leadership Inequality
  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.

It matters who does science

Science Forever • 358 implied HN points • 11 May 23
🔬 Science Research Identity Bias Diversity
  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.

Entourage

Venture Prose • 359 implied HN points • 26 Feb 23
💼 Business Entrepreneurship Relationships Communication Bias Self-Improvement
  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.

We Need To Come Back From The Future

Cybernetic Forests • 199 implied HN points • 04 Jun 23
🕹 Technology AI Ethics Regulation Future Bias
  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.

Biases Against Risky Research

New Things Under the Sun • 224 implied HN points • 31 Mar 23
🔬 Science Research Bias Funding Academic
  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.

How to Read an AI Image

Cybernetic Forests • 379 implied HN points • 02 Oct 22
🔬 Science AI Data Analysis Image Generation Bias Art
  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.