The hottest Data Transparency Substack posts right now

And their main takeaways
Category
Top Climate & Environment Topics
COVID Reason β€’ 753 implied HN points β€’ 15 Oct 24
  1. During the COVID-19 pandemic, there was a flood of poor-quality scientific studies. Many rushed papers were published that had unreliable findings, highlighting a major issue in research standards.
  2. To improve science in the future, researchers need to focus on real problems and provide real-world data instead of relying heavily on models. Transparency is also crucial so everyone can trust the research and its sources.
  3. Healthcare workers faced immense challenges during the pandemic and deserve more support. The lessons learned from this crisis should help us prioritize quality scientific work and the human aspect of healthcare.
Common Sense with Bari Weiss β€’ 204 implied HN points β€’ 22 Feb 24
  1. Transparency of raw data in medical research is crucial to uncovering fraud, as many papers only present summaries hiding potential malpractice.
  2. In medical research, the data presented in scientific papers is akin to a curated dating profile, showing only a portion of the actual work done.
  3. Calls for greater transparency, such as making all raw data available when publishing medical research, are crucial to combat fraud and encourage accountability in the field.
Steve Kirsch's newsletter β€’ 9 implied HN points β€’ 30 Jan 25
  1. Data from the Czech Republic shows that people who got the Moderna vaccine have a significantly higher death rate compared to those who got the Pfizer vaccine.
  2. This higher death rate has been observed across different age groups, indicating it's not just due to older people receiving Moderna.
  3. Despite these serious findings, there seems to be a lack of action and transparency from health authorities regarding this data.
Steve Kirsch's newsletter β€’ 15 implied HN points β€’ 07 Nov 24
  1. A formal complaint has been filed against the Santa Clara County Public Health Department for potentially misleading the public by recommending COVID vaccines despite their own data suggesting they may be harmful.
  2. Requests for explanations from the health department about their data were met with silence or non-committal responses, raising concerns about transparency and accountability.
  3. The data indicates that COVID vaccines may have increased infections and deaths, prompting questions about their effectiveness and the need for public discourse on the subject.
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Gradient Flow β€’ 2 HN points β€’ 13 Jun 24
  1. When choosing a vector search system, focus on features like deployment scalability and performance efficiency to meet specific needs.
  2. To ensure reliability and security, opt for systems that offer built-in embedding pipelines and integrate with data governance tools.
  3. Prioritize data quality and transparency in AI applications, emphasizing reproducibility through sharing code, data, and detailed documentation.
Steve Kirsch's newsletter β€’ 10 implied HN points β€’ 02 Mar 24
  1. Seven MPs have requested comprehensive data transparency from the UK ONS, aiming to unveil the truth behind COVID vaccine data with a detailed analysis.
  2. The MPs' request is backed by UK Professors Norman Fenton and Carl Heneghan, adding credibility to their efforts towards accountability and transparency.
  3. The UK ONS is in a precarious position as they cannot easily refuse the request, obligated to comply due to the scientifically sound nature of the analysis and privacy protection highlighted by experts.
Steve Kirsch's newsletter β€’ 9 implied HN points β€’ 23 Jan 24
  1. UK ONS is not interested in exploring ways to increase data transparency.
  2. The data published by UK ONS may not be sufficient to determine vaccine safety.
  3. There are concerns that UK ONS is not serving the interests of the people and is not being transparent with their data.
12challenges β€’ 3 HN points β€’ 14 Mar 24
  1. Imposing transparency on platforms like TikTok is crucial to understand the information users are exposed to.
  2. Legislations like the EU's DSA and the US's PATA aim to force platforms to reveal their top content for scrutiny.
  3. Access to real-time data on top content viewed on platforms like TikTok is essential for researchers and policymakers.
The Green Techpreneur β€’ 4 implied HN points β€’ 15 Sep 23
  1. CEEZER is a marketplace platform bringing harmony, transparency, and data to the carbon market.
  2. CEEZER aims to help buyers and sellers navigate the complexity of carbon quality and buying decisions by providing 3.5 million data points and AI analysis.
  3. Magnus and his team built CEEZER to provide a data-driven, non-BS approach to the carbon market, focusing on impactful climate action and long-term commitment.
Sector 6 | The Newsletter of AIM β€’ 0 implied HN points β€’ 18 Mar 24
  1. Elon Musk released the Grok model as open-source, but it has mixed reactions from developers. People are unsure about why it was shared and what it actually includes.
  2. The Grok model is currently just a base model and isn't fine-tuned for specific tasks. It was completed in October 2023, so it might need more work to be really useful.
  3. Although the model's weights are available, there's no clear information about the training data used. Some feel this makes it less transparent and more like just open-weight models instead of fully open-source.
The Kahneman Bot β€’ 0 implied HN points β€’ 05 Apr 23
  1. Transparency builds trust and engagement with users by showing them how things work behind the scenes.
  2. Operational transparency, like giving clear information on progress or processes, can lead to significant gains at low cost.
  3. Feedback and transparency in various interactions, like customer support or hiring processes, can greatly enhance user satisfaction and engagement.