The hottest Data Transparency Substack posts right now

And their main takeaways
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Quantifying Curriculum Degradation: Evidence from the University of Chicago

Heterodox STEM • 192 implied HN points • 15 Mar 26
🚌 Education Data Transparency
  1. A keyword-based method can flag courses as engaging with progressive ideas or the Western canon, and while this approach is blunt and prone to errors or manipulation, it is useful for tracking changes over time and comparing institutions.
  2. At the University of Chicago (2012–2025) the share of courses matching progressive keywords rose from about 12.7% to 28.3% while canon-related courses stayed near 12%, so progressive signals now outpace canon signals especially in humanities and social sciences and even show up in STEM.
  3. A public Curriculum Content Index built from catalogs, syllabi, and enrollment could give families, donors, and policymakers transparent comparisons across universities, but such an index should be treated as a noisy first pass and not as a basis for micromanaging curricula or replacing careful evaluation.

The Great John Ioannidis on the Terrible Science During Covid

COVID Reason • 753 implied HN points • 15 Oct 24
🔬 Science Data Transparency
  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.

The FDA’s New “Transparency” Database

Who is Robert Malone • 13 implied HN points • 11 Mar 26
🏥 Health Politics Data Transparency
  1. The FDA launched AEMS to merge seven legacy adverse-event databases into a single, real-time searchable system that should improve access and save money.
  2. Adverse-event reports are early-warning signals, not proof of causation, and the data remain incomplete and noisy, so consolidation may help spot patterns but won’t fix underreporting or data quality issues on its own.
  3. True transparency depends on culture and response—making data visible is useful, but real openness requires that outside researchers can analyze the data freely and regulators honestly investigate and act on safety signals.

Israel FOIA data shows over a 500X increase in rate of heart attacks in teens on the day of their COVID shot. So they deleted the records. No one in government calls for an investigation.

Steve Kirsch's newsletter • 9 implied HN points • 26 Feb 26
🏥 Health Politics Data Transparency
  1. FOIA records from Israel reportedly show a large, concentrated increase in acute myocardial infarction (heart attack) codes among teenagers that occurred on the same day as their COVID vaccination, with the author citing a conservative 500× rise.
  2. The HMO that supplied the data now says those adverse-event records no longer exist, suggesting deletions or technical loss, and no Israeli officials have publicly demanded a full investigation or accountability for the missing records.
  3. Major mainstream media and medical authorities have not widely covered or investigated these claims, and critics argue the data should be independently audited and Clalit’s records treated as unreliable until a public explanation is provided.

Hawaii and the West Coast Health Alliance

Who is Robert Malone • 12 implied HN points • 08 Jan 26
🏥 Health Politics Data Transparency
  1. The West Coast Health Alliance is a regional bloc of California, Oregon, Washington, and Hawaii that coordinates unified public health policies, promotes routine childhood COVID vaccination, and relies on shared data systems and philanthropic funding.
  2. Hawaii’s governor has used emergency proclamations to expand vaccine access—such as allowing pharmacists to give COVID mRNA shots to young children—and backed efforts to limit non-medical exemptions, moves critics call executive overreach that erodes parental and religious autonomy.
  3. The Alliance has resisted federal vaccine re-evaluation, declined to share pediatric adverse-event data, and outsourced monitoring to private contractors, prompting concerns it protects institutional and donor interests over transparency and informed consent.
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An Open Proposal to the CEO of the American Academy of Pediatrics

Steve Kirsch's newsletter • 7 implied HN points • 16 Jan 26
🏥 Health Politics Data Transparency
  1. A plan to fund multiple independent research teams to analyze the same public government vaccine data, aiming to answer vaccine safety questions transparently.
  2. The effort would use jointly designed study specs, pre-registered protocols, and require public release of data, code, and methods, with publication of results regardless of outcome.
  3. The purpose is to reduce polarization and increase public trust by letting objective, independently verified analyses speak for themselves and involving organizations with different perspectives.

Eight questions "Professor Dave" can't answer

Steve Kirsch's newsletter • 7 implied HN points • 12 Jan 26
🏥 Health Politics Data Transparency
  1. The debate became personal and some questions were deleted, raising concerns that ad hominem attacks and comment removal undermined open scientific discussion.
  2. There is a demand for clear, record-level evidence and transparent data (including autopsy results) to show whether COVID vaccines saved lives or caused harm, and a new analysis is claimed to show increased deaths after boosters.
  3. The speaker challenges the opponent's credibility and asks for credentials plus explanations for puzzling findings like odd protective effects in one study, sudden autism cases after vaccination, and unusual cancer trends.

AlterAI exposes the corruption at the CDC

Steve Kirsch's newsletter • 9 implied HN points • 02 Jan 26
🏥 Health Politics Data Transparency
  1. An audit alleges widespread corruption at the CDC, claiming data suppression, hidden industry ties, altered analyses, misuse of surveillance systems, and internal censorship to protect the agency’s image rather than public health.
  2. The audit particularly targets autism surveillance from 2000–2015, reporting missing datasets, reclassification of cases, and emails suggesting orders to destroy contradictory draft data, and it notes reports that the CDC said studies have not ruled out a vaccine link.
  3. Reported consequences include criminal referrals to the Department of Justice and a planned public release of roughly 10 terabytes of raw CDC epidemiological data so independent researchers can reanalyze the records and push for accountability.

Were the COVID vaccines genocide?

Steve Kirsch's newsletter • 9 implied HN points • 21 Dec 25
🏥 Health Politics Data Transparency
  1. There’s no clear evidence the vaccine campaigns were a centrally planned genocide, but secrecy, manipulation, and censorship during rollout made large-scale harm possible without explicit intent.
  2. Post-rollout data showed worrying signals like unexplained excess deaths, increased cardiac events in some groups, and reproductive or neurological problems that were often underreported or dismissed.
  3. Pharmaceutical companies and regulators acted with profit and protection motives, suppressing data and dissent in ways many view as a large-scale ethical and medical betrayal.

Paul Offit responds to multiple challenges by deferring to the peer-reviewed literature

Steve Kirsch's newsletter • 6 implied HN points • 16 Dec 25
🏥 Health Politics Data Transparency
  1. Peer review and major journals can act as gatekeepers tied to institutional and industry interests, so relying only on traditional publication as proof can suppress dissenting evidence and block open scientific debate.
  2. A new, simple analysis method applied to comprehensive national registry data is claimed to reveal net harms in some groups, and critics are challenged to either point to a better method or directly engage with those data and code.
  3. Restoring trustworthy science requires concrete reforms — open raw data, transparent and accountable peer review, independent funding for journals, cryptographic records of submissions, and stronger support for replication and independent researchers.

We’re Not Curing Cancer Here, Guys

Common Sense with Bari Weiss • 204 implied HN points • 22 Feb 24
🏥 Health Politics Data Transparency
  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.

VSRF LIVE TONIGHT: Episode 211: Dr. Brian Hooker, PhD, Dr. Karl Jablonowski, PhD and Rick Jaffe, Esq.

Steve Kirsch's newsletter • 1 implied HN point • 22 Jan 26
🏥 Health Politics Data Transparency
  1. Peer-reviewed research presented raises serious biological and neurological concerns about cumulative aluminum adjuvant exposure from vaccines in children.
  2. A preprint asserting increased mortality after 2-month infant vaccinations was removed by the platform’s advisory board, and the authors plan to republish the findings on an open-science platform, highlighting concerns about suppression of uncomfortable data.
  3. A newly filed federal RICO lawsuit accuses the American Academy of Pediatrics of financial conflicts and misleading vaccine safety claims, which could have major implications for pediatric policy and public trust.

The Future of Vector Search

Gradient Flow • 2 HN points • 13 Jun 24
🕹 Technology Data Transparency
  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.

Today I filed a formal complaint in Santa Clara County alleging malfeasance by the public health department

Steve Kirsch's newsletter • 15 implied HN points • 07 Nov 24
🏥 Health Politics Data Transparency
  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.

BREAKING: OFFICIAL Czech record level data shows Moderna recipients had up to a 50% higher death rate than Pfizer recipients

Steve Kirsch's newsletter • 9 implied HN points • 30 Jan 25
🏥 Health Politics Data Transparency
  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.

BREAKING: Seven MPs request comprehensive data transparency from the UK ONS

Steve Kirsch's newsletter • 10 implied HN points • 02 Mar 24
🌍 World Politics Data Transparency
  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.

Harmony is finally coming to the carbon markets: how this marketplace platform delivers clarity

The Green Techpreneur • 4 implied HN points • 15 Sep 23
🌞 Climate & Environment Data Transparency
  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.

Show your users how the sausage is made

The Kahneman Bot • 0 implied HN points • 05 Apr 23
💼 Business Data Transparency
  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.

Grok Delivers Open AI Promise?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 18 Mar 24
🕹 Technology Data Transparency
  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.