Analyzing Hitler’s Genome Offers No Insight into His Crimes

DNA of Adolf Hitler Sequenced for Documentary

Smith Archives/Alamy

Many individuals find it challenging to discuss Adolf Hitler without losing the argument. If you feel the need to sequence Hitler’s DNA to grab attention for your TV program, you’ve likely lost the plot.

Yet, this is precisely what Britain’s Channel 4 has undertaken. The documentary Hitler’s DNA: The Dictator’s Blueprint is set to air this Saturday. While I’m reluctantly preparing to watch it, feel free to skip it.

DNA comes from a piece of cloth soaked in blood, cut from the sofa where Hitler shot himself in 1945 and now housed in a museum in the United States. Although the resulting genome contains gaps due to the sample’s age, the Y chromosome reportedly matches that of a male relative of Hitler, suggesting its authenticity.

If this endeavor had been purely academic, aimed at expanding our knowledge—perhaps to verify if Hitler had a rumored Jewish grandfather (he didn’t, according to DNA)—it might have been acceptable. Instead, we are presented with a sensational two-part documentary claiming this DNA evidence “will change the way we perceive Hitler.”

The issue lies in the implication of genetic determinism, suggesting Hitler was predestined to commit horrific acts due to his genes. While this documentary does not directly assert this claim, it comes perilously close. What else could the phrase “dictator’s blueprint” imply?

This line of reasoning is akin to arguing that cloning Hitler would lead to the emergence of numerous murderers. While ethically we disdain such an experiment, the world contains clones in the form of identical twins sharing the same DNA. Studies on twins have been used to assess the degree to which various traits and conditions arise from genetics instead of the environment.

Now, there are numerous challenges with twin research. It’s impossible to entirely disentangle genetic influences from environmental ones, especially as twins generally grow up in similar surroundings. Nonetheless, the best estimates indicate that the heritability of criminal behavior, which likely aligns closely with that of genocidal dictators, is less than 50%. Thus, there is no basis to expect that most clones of Hitler would be tyrants.

Additionally, our grasp of the human genome remains primitive. We still lack the ability to predict straightforward traits like eye color with absolute certainty, let alone more complex characteristics arising from brain and environmental interactions.

What we can do is identify genetic variations statistically associated with higher risk for conditions like autism. Individuals receive a “polygenic score” for each condition. However, possessing a high polygenic score for autism does not guarantee a diagnosis. This situation arises from various factors, including the importance of environmental influences, potential misleading associations, and incomplete identification of significant variants.

“It is crucial to emphasize that, in their current form, autism polygenic scores have no clinical applicability due to inconsistent associations and restricted generalizability,” as concluded in a recent meta-analysis.

The documentary claims that Hitler’s genome rates exceptionally high for autism, alongside mental health issues such as schizophrenia, bipolar disorder, and antisocial behavior or psychopathy. His ADHD score is also reported to be above average. However, historical accounts have long suggested that Hitler exhibited such characteristics based on his actions. Genetic data does not yield definitive proof, and established diagnostic criteria do not incorporate genetic information.

More critically, what if he did display these symptoms? Are there alternative explanations for these classifications? As Simon Baron-Cohen from Cambridge University argues in the documentary, the neglect and abuse Hitler faced from his alcoholic father make it “crucial to comprehend why he developed such hatred and anger.”

He further pointed out that traits often linked to schizophrenia might connect with creativity and unconventional thought, possibly accounting for Hitler’s political and military achievements. Is this mere speculation?

For me, this represents the core issue with analyzing Hitler’s genome. We can speculate about potentially valid connections to his personality and behavior, but these could all be entirely incorrect. Moreover, this could worsen the stigma around conditions like autism, schizophrenia, and bipolar disorder.

This documentary undermines its assertions as it largely reiterates established information about Hitler. The main novelty lies in the assertion that Hitler suffered from Kallmann syndrome, a condition affecting sexual development. Yet, this condition’s physical effects are extensive, and there is already documentary evidence suggesting Hitler had undescended testicles. Thus, history proves more enlightening than genetics.

Additionally, the broader question this documentary raises is whether Hitler was uniquely evil or entirely accountable for World War II and the Holocaust. Unfortunately, history reveals that genocidal dictators do not operate in isolation; they need the backing of numerous individuals.

Millions supported Hitler, other politicians enacted laws enabling his rise, and many authorities aided in enforcing the racist legislations that resulted in the Holocaust. We shouldn’t search within our genes for reasons why so many opt to become dictators; the pressing issue lies in why we allow them to do so.

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Source: www.newscientist.com

Analyzing Post-Riot Behavior: Tracking Far-Right Radicalization Through 51,000 Facebook Messages

Over 1,100 individuals have faced charges related to the summer 2024 riots, with a small fraction being prosecuted for crimes associated with their online conduct.

Sentences varied from 12 weeks to seven years, igniting a surge of online backlash. The individuals behind the posts were varied; one notable case is that of I defended, who emerged as a cause célèbre and was labeled a “political prisoner.” Their posts were minimized and mischaracterized; their prosecution was framed as an infringement on free speech, despite the majority of online-related charges involving allegations of inciting racial hatred.

The posts did not predominantly surface in mainstream social media platforms like X, Instagram, or Facebook, but rather in niche online spaces commonly linked to fringe ideologies like Telegram, Parler, GetTr, 4Chan, and 8Kun. While many of these posts were on personal profiles, some appeared in public group forums.

This raised questions: What online communities did these individuals engage with, and who were their advocates? What type of content was circulating in these environments? It seemed that within these circles, views were so normalized that individuals felt emboldened to share content that was considered criminal by British authorities and the judiciary.

As a starting point, we utilized publicly accessible resources (police records and news reports) to track Facebook accounts of those implicated in previous investigations. Out of approximately 20 individuals charged with online offenses related to the summer 2024 riots, we followed five to three public Facebook groups. We also discovered visually similar or replicated posts defending those referenced in these groups.

This led to the mapping of a broader network of other Facebook groups, connected through shared memberships and group moderators and administrators.

In this exploration, we uncovered vibrant ecosystems characterized by a profound distrust of government and its institutions, alongside online communities preoccupied with anti-immigrant sentiments, naturalism, conspiracy theories, and misinformation.

Additionally, we found individuals who expressed genuine concerns about the society they belong to, alongside those who are deeply disillusioned and believe their freedom of expression is at risk.

Identification of Groups

Why focus on these groups?

Three groups were selected for the primary analysis because they included one or more current or former members charged in connection with the summer 2024 riots, or individuals involved in the riots who made comments either in person or online.

We established links between these and 13 additional groups, with all but three being public. These groups play significant roles, as moderators can oversee memberships, approve requests, and issue bans, with the authority to delete posts and comments. Administrators have even broader permissions, including the ability to modify group settings, update descriptions, and appoint additional moderators or administrators.

Which posts were analyzed?

To understand the type of content shared within these groups, we aimed to capture all posts made by the three largest groups from their inception until mid-May 2025.

We collected links and text from a total of 123,000 posts. However, due to the classification process (outlined below), the analysis was ultimately focused on 51,000 text-based posts.

What was the group membership size?

We did not record the names of individual group members (aside from moderators, administrators, and prominent posters). Therefore, when discussing combined memberships across groups, it is likely that individuals who belong to multiple groups were counted more than once.

Classification

First, we verified that the posts contained far-right content using established academic methods and categorized them through specific keywords indicating radicalization. We supplemented this with an AI tool that became available to data teams due to recent changes in editorial policies surrounding its journalistic use, classifying content as anti-establishment, anti-immigrant, migrant demonization, naturalism, and far-right identity/denial.

For categorizing the 51,000 social media posts, we employed ChatGPT 4.1 via OpenAI’s API. The prompts underwent rigorous testing across a random sample of 12 iterations, ensuring that at least two reviewers concurred until a consensus of over 90% was reached between the model and three human reviewers.

We are confident in the model’s reliability in small batches, supporting our broader evaluation based on a statistically determined sample of posts which achieved 93% agreement between human reviewers and the AI model.

The final analysis involved a statistically validated number of posts reviewed by the same annotator.

Testing concluded that the model performed exceptionally well, matching or even exceeding human reviewer consistency across most categories.

  • Accuracy (Percentage of correctly classified instances): 94.7%.

  • Precision (Percentage of correctly assigned true label counts by GPT): 79.5%.

  • Recall (Percentage of instances classified as true by humans and also classified as true by GPT): 86.1%.

  • F1 Score (A single percentage combining accuracy and recall, with higher values indicating better classification): 82.6%.

The model’s performance was evaluated by an internal statistical analyst, concluding its results were strong, benchmarked against similar academic studies.

Despite the model’s impressive performance, misclassifications in the analysis are inevitable.

We believe the classification process employing OpenAI’s API is thorough, transparent, defensible, and bolsters rigorous journalism.

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Untangling the Chaos: Analyzing the U.S. Climate Disaster Defense Strategy

The National Weather Service is gearing up to deliver compromised forecasts. Scientists are advised to suspend all but essential travel, while university-based researchers report that a multi-million dollar federal grant for climate modeling has been abruptly withdrawn.

This represents a new standard within the National Oceanic and Atmospheric Administration (NOAA), the US’s primary weather and climate agency, as indicated by interviews with current and past personnel, along with research collaborators.

Six months into the new US administration, the ramifications of significant political shifts are becoming apparent. Although official budget discussions are ongoing, a quiet dismantling is already in progress. Employees warn this jeopardizes the agency’s capacity to safeguard the public against climate-related threats such as floods, wildfires, and hurricanes.

The repercussions extend beyond US borders. NOAA’s research and data underpin the initiatives of global organizations like the Intergovernmental Panel on Climate Change and the World Weather Organization.

If the US steps back, other nations might need to fill that void, risking missed early warnings for imminent disasters. In fact, EU countries and academic institutions are already racing to recruit former NOAA staff in hopes of bridging the gap.

“It’s nothing but confusion and uncertainty,” said a current NOAA scientist with over 15 years of experience, as reported by BBC Science Focus. “Planning anything is incredibly challenging due to persistent unpredictability.”

Service Reductions and Research Loss

Earlier this year, the National Weather Service (NWS), a division of NOAA, entered into an agreement that led to a reduction of services at 122 weather offices nationwide, stemming from a significant staffing shortage after a wave of early retirements and layoffs.

Currently, public forecasts remain available. However, as wildfire and hurricane seasons peak, vulnerabilities in the system could quickly surface.

The NWS is permitted to hire meteorologists, hydrologists, and radar engineers to fill 450 critical vacancies, but former staff members caution that it might already be too late.

“Public safety is undeniably at risk due to a hastily executed process led by individuals who are overwhelmed by this new role in the NWS,” said meteorologist Alan Gerald, who spent 35 years with NOAA before accepting an early retirement package this year.

While recruitment and training could take months, the departure of senior personnel means lost institutional knowledge could be permanent, Gerald noted.

Even if staffing shortages are ultimately addressed, current personnel are warned that the repercussions may impact long-term preparedness. “What is sacrificed is the research aspect and our ability to continue advancing our modeling and prediction expertise,” stated NOAA scientists.

NOAA’s National Hurricane Centre provides crucial forecasts for tracking the paths of powerful storms, such as the devastating Hurricane Beryl in 2024. – Photo credit: Getty

External partners are already experiencing the consequences. A researcher associated with NOAA shared with BBC Science Focus that a multi-million dollar next-generation weather modeling initiative is now in jeopardy after losing federal backing.

“We’re already not perfect in our work,” the researcher remarked. “And with the climate changing, leading to more extreme events, if we don’t evolve accordingly, lives will be lost, property damage will escalate, and we risk missing critical storm warnings.”

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“Avoid the term climate.”

Internally, scientists have been instructed to halt all non-essential travel, including attending conferences, which are vital for collaboration across scientific disciplines. This policy was reportedly communicated verbally without formal documentation.

Several sources noted that oral directives have become the norm, often lacking written records.

Scientists added that there is growing reluctance to mention the term “climate.”

“While I’ve never been directly told, ‘Don’t publish this’ or ‘Don’t address climate,’ it’s implicit. For example, external funding guidelines suggest we approach topics differently,” explained a NOAA scientist. “So when working with external colleagues, we often hear ‘don’t mention climate and let’s frame this differently.’

This self-censorship is part of a broader crackdown on climate-related initiatives.

In April, the Commerce Department withdrew nearly $4 million in NOAA funding from Princeton University, effectively terminating three significant collaborative agreements aimed at predicting coastal flooding, sea-level rise, droughts, fires, and floods.

In a general statement, the department criticized one of the Princeton awards for promoting “unfounded and inflated climate threats” and creating “climate anxiety.” Another was deemed no longer aligned with the Trump administration’s priorities, justifying that it suggested significant fluctuations in water availability due to global warming.

The statement proceeded to describe changes in precipitation patterns and rising sea levels as “suspected” effects.

Protesters gathered at a rally outside NOAA Headquarters to protest recent staff reductions on March 3, 2025 – Credit: Getty

In May, NOAA’s Grant Management Department terminated the Northwest Climate Resilience Collaborative (NCRC), a University of Washington initiative that assisted rural communities and tribes in adapting to flooding and intensified heat.

Reports indicate that grants are being cut to “rationalize and reduce federal expenditures and size” since they no longer align with “program goals or agency priorities.”

Separately, the White House also slashed funds associated with the Sixth National Climate Assessment (NCA), despite legal mandates to prepare a comprehensive climate report every four years. Originally scheduled for release in 2028, its future now hangs in uncertainty.

“Part of this is a tactic to downplay the significance of the work being done,” remarked a NOAA scientist.

“For instance, we now refer to what we consider ‘climate’ as something broader than weather patterns. While we traditionally described forecasts as ‘climate,’ we’ve stopped using that term to avoid attracting attention to it.”

Erosion of Knowledge

Since the new administration took office, NOAA has lost around a fifth of its workforce, with over 1,000 employees, many holding senior leadership positions, opting for early retirement or buyouts this year.

“When experienced staff leave due to exhaustion, that’s one thing,” Gerald remarked. “But losing a significant portion of seasoned personnel is a different issue entirely.”

Morale has plummeted. Employees report that independent programs are being restructured or eliminated with little notice or explanation, and even if funding is restored, considerable damage may already be irreversible.

“We’re talking about a research infrastructure cultivated over 50 or 60 years,” Gerald stated. “That could essentially collapse within a year.”

Carl Gouldman, who recently led the US Integrated Ocean Observing Systems office within NOAA, echoes these concerns.

“The relationships and partnerships necessary for innovation and creating essential features are at substantial risk and may never recover,” he warned. “Humpty Dumpty is shattered, and you can’t reassemble him.”

Negotiations for NOAA’s 2026 budget are still proceeding. The White House’s proposal suggests a 40% cut in institutional funding. Alternate proposals from the House and Senate are more generous, but a compromise could still be months away.

However, Gerald is particularly worried about the interim actions of the administration. He recently referred to a public statement from Russ Vought, director of the Office of Management and Budget, who indicated that the administration “is not aligned with the legislative department’s understanding of its own authorities and responsibilities.”

“We still have a chance to reevaluate this and consider its implications,” Gerald said. “With climate change and the expanding human footprint—more people causing harm for various reasons—the demand for warnings and predictions is only escalating.”

NOAA has not responded to requests for comment.

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About Our Experts

Alan Gerald is a meteorologist with over 35 years of experience in issuing warnings and forecasts, focusing on reducing the social impacts of hazardous weather, water, and climate events. He has served for more than 20 years in senior leadership roles at NOAA and most recently was the director of analysis and understanding for the National Intense Storm Institute until March 2025.

Karl Golman is a recently retired director of NOAA’s US Integrated Ocean Observing Systems office, with 25 years of leadership experience in the agency. During his tenure at NOAA, he oversaw annual budgets ranging from $5 billion to $200 million.

Source: www.sciencefocus.com

ICE detains Harvard scientists analyzing images that could alter cancer diagnosis

Harvard Medical School’s cutting-edge microscopes have the potential to revolutionize cancer detection and lifespan research. However, a scientist who developed computer scripts to extract maximum information from the images found herself in immigration detention for two months, jeopardizing significant scientific advancements.

The scientist in question is 30-year-old Russian-born Xenia Petrova, who worked at Harvard’s renowned Kirschner Institute until her arrest at Boston Airport in mid-February. Currently detained at the Richwood Correctional Center in Monroe, Louisiana, Petrova is fighting against deportation to Russia, where she fears persecution and imprisonment due to her participation in protests against the conflict in Ukraine.

The incident involving Petrova and the detention of scholars across the country have hindered American universities’ ability to attract and retain crucial talent, a concern raised by Petrova’s colleagues. In fields where expertise is highly specialized, the loss of talent could have grave global implications for the future of medicine and scientific discovery. Scientists and faculty members are contemplating leaving institutions nationwide out of fear that their visas may be revoked or impacted by immigration enforcement actions.

“It’s like a meat grinder,” Petrova, as per a person talking to NBC News from the Louisiana facility, described her situation. “We are all in this system, regardless of having a visa, green card, or a valid reason.”

Petrova’s first immigration court hearing in Louisiana is scheduled for Tuesday morning, where she expects more clarity on her asylum case. Dr. Leon Peshkin, a prominent research scientist at Harvard University’s Faculty of Systems Biology and Petrova’s supervisor, received a call from Customs and Border Protection on February 16, notifying him of Petrova’s detention at Logan International Airport for failing to declare a sample of frog embryos used in research.

International researchers are increasingly anxious about the Trump administration’s strict stance on illegal immigration, with concerns that these policies could deter other foreign scientists from coming to Harvard. Recent surveys indicate a significant portion of scientists are contemplating relocating to Europe or Canada due to actions taken by President Donald Trump.

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The constraints of machine learning in analyzing galaxies that are difficult to observe

The recent focus in news has been on the progress of artificial intelligence (AI) in the past couple of years. ChatGPT and DALL·E are examples of AI models that many people associate with AI. AI tools are utilized by astronomers to analyze vast data sets, which would be impractical to manually go through. Machine Learning Algorithms (ML) are crucial for categorizing data based on predetermined parameters derived from previous studies. An example of ML usage is in the identification of elusive patterns in sky surveys by astronomers, though the limitations of this method in classifying objects in space are not thoroughly understood.

To address these limitations, a group of scientists led by Pamela Marchand-Cortes at the University of La Serena in Chile tested the capabilities of ML. They used ML models like Rotation forest, Random forest, and Logit Boost to categorize objects beyond the Milky Way galaxy based on their properties. The team aimed to see if ML could accurately categorize objects already manually classified. The challenge was in the dense region of sky obscured by dust in the Milky Way, known as the “Avoidance Zone.” The team’s experiment showed that ML had difficulty in categorizing objects in this challenging area.

The team gathered and analyzed data from X-ray images to manually identify objects and compare ML’s performance. ML correctly identified large objects like galaxies in only a few instances, showcasing its limitations. Despite the potential for ML to assist in studying obscured regions of the universe, the team recommended training AI models with diverse samples to enhance accuracy in future research.

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Source: sciworthy.com

AI is able to detect the position of a mouse by analyzing its brain activity

Micrograph of a cross-section of a mouse brain highlighting neural pathways (green)

Mark and Mary Stevens Neuroimaging and Informatics Institute/Scientific Photo Library

By analyzing a mouse’s brain activity, scientists can tell where the animal is and the exact direction the mouse is looking. With further research, the findings could one day help robots navigate autonomously.

The mammalian brain uses two main types of neurons for navigation. “Head direction cells” indicate where the animal is facing, and “grid cells” help provide her two-dimensional brain map of where the animal is located.

To learn more about the firing of these neurons, Vasilios Marlas and colleagues at the University of Tennessee, Knoxville, worked with the U.S. Army Research Laboratory to analyze data from previous studies.

In this experiment, probes were inserted into the brains of several mice. They then combined data about their neural firing patterns with video footage showing their position and head position as they moved around their open environment.

Because of this, Marlas and his colleagues developed an artificial intelligence algorithm that can figure out where the mouse is looking and where it is.

In practice, it’s similar to the drop pins and directional arrows on your smartphone’s map app, except instead of connecting to GPS satellites, scientists analyze the subjects’ brain activity.

“This method eliminates the reliance on updating GPS coordinates based on preloaded maps, satellite data, etc.,” Marulas says. “In a sense, the algorithm ‘thinks’ and perceives space in the same way as a mammalian brain.”

AI could eventually allow intelligent systems to move autonomously, he says. “In other words, we are taking advantage of the way the mammalian brain processes data and incorporating it into the architecture of our algorithms.”

Adam Hines Researchers from Australia’s Queensland University of Technology say the smartphone app analogy is helpful. “The location information (drop pin) and the direction (blue arrow) match, and during navigation, as he moves, the two pieces of information are constantly updated. Grid cells are like GPS, heading cells are It’s like a compass.”

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Source: www.newscientist.com

Analyzing HomeCooks’ $3.2 million seed deck: Understanding the pitch deck

Originally Facebook The group was started by people during the 2020 coronavirus lockdown to make healthy meals for those close to them. home cook has evolved into a comprehensive marketplace for chefs. We facilitate the entire process from chef preparation to delivery, offering over 200 meal options. The company recently raised $3.2 million in crowdfunding on Seedrs.

HomeCooks positions itself as the “Etsy of food” and has grown rapidly and now serves approximately 7,000 customers. Take a look at how the company told its story with its crowdfunding campaign.

Quick spoiler alert here: This deck is way too long at 25 slides, but it’s also one of the best pitch decks I’ve seen in this heat of the moment.


This deck slide

The company shared 25 slides in their entirety without any edits or edits. The situation is as follows.

  1. cover slide
  2. mission slide
  3. “Food Etsy” slide
  4. How Eater Slide works
  5. social impact slides
  6. end slide

3 things to love

This is not a perfect pitch deck, but it has to be an incredibly good one. Below are some highlights.

threading the market needle

There is So There are many reasons why marketplaces are so difficult to succeed…

PDT 77 3.2m Seed HomeCooks s17

[Slide 17] Homecooks argues that the audience will grow with supply. Normally he would call BS, but the numbers support their claims. image credits: Home Cook

sustainability perspective

[Slide 14] Yass! image credits: Home Cook

It’s an incredible team

[Slide 20] good . . . Fuck! That’s impressive! image credits: Home Cook

Bravo.

In the rest of this teardown, we’ll look at three things HomeCooks could have improved or done differently, along with its full pitch deck.

Source: techcrunch.com