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What makes dogs so loyal? Science has the answer
From evolution to brain chemistry, science explains why dogs form extraordinary emotional bonds and remain humanity's most loyal companions.
Covington 'Open for Business' amid Brent Spence Companion project
Covington City leaders and business owners say the traffic impacts have been minimal since work began on the Brent Spence Companion Bridge.
Eastlake science students make district history
Three Eastlake High School students made Sweetwater Union High School District history this year when they became the first students from the district to qualify for the International Science and Engineering Fair, an international competition that brings together some of the top high school researchers from around the world. Ronald Wyatt, Giles Del Priore and Ihan Sung advanced to the competition after successful runs at regional and state science fairs. Sung went a step further, placing fourth in the chemistry category at ISEF. The students were recognized on Aug. 10 during a Sweetwater Union High School District board meeting at the district office in Chula Vista.For Wyatt and Del Priore, recent Eastlake graduates, the journey began with a shared concern about dementia and the challenges faced by families caring for loved ones with memory impairment. Their engineering project, “Design and Evaluation of a Behaviorally Grounded Caregiver-Governed AI Companion for Individuals with Memory Impairment,” earned the Sweepstakes Award at the Sweetwater District STEM Fair and first place in its division at the Greater San Diego Science and Engineering Fair. The project explored whether Artificial Intelligence could provide companionship and support while helping reduce stress for people with dementia and their caregivers. “Our inspiration came from personal experience. Both of us have seen family members and loved ones affected by dementia, and we’ve witnessed how overwhelming the caregiving process can be,” Wyatt said. Del Priore said the students also wanted to address the high cost of third-party health care services while creating something that could potentially help their own families as well as people elsewhere. The students developed an AI system designed with safeguards intended to prevent misinformation reinforcement, emotional escalation and unsafe responses. In 240 controlled trials involving memory, identity, agitation and neutral scenarios, they said the system consistently prevented harmful incorrect reinforcement while using context-aware silence, de-escalation and caregiver verification. The project required the students to combine Artificial Intelligence, psychology, neuroscience and human-computer interaction. For Del Priore, one of the biggest technical challenges was getting the AI companion to communicate verbally with a patient. Hardware limitations required the students to collaborate with multiple Python libraries for speech-to-text and text-to-speech functions while keeping the cost of the companion low. “For us, the biggest challenge was translating complex behavioral and cognitive care principles into a functioning AI system,” Wyatt said.Qualifying for ISEF was a milestone that student expected. The international competition proved to be another milestone. “Competing at ISEF was an incredible experience and unlike anything we’ve ever done before,” Del Priore said. “Being surrounded by some of the most talented young researchers from around the world was both inspiring and motivating.” He said the experience stood out because of the emphasis on collaboration, innovation and scientific discovery. “The most memorable part was seeing how people from completely different backgrounds and disciplines approached solving real-world problems with creativity and passion,” he said. The students also credited teachers and mentors who supported their work. Del Priore said his sophomore-year AP Physics teacher, Dr. Price, was particularly influential. “Through all of my personal and academic struggles, Dr. Price always believed in me,” Del Priore said. “All of his faith in me really molded me into the person I am today and helped create my love for science even through tough times.” Wyatt is continuing his education at UC Santa Cruz, where he plans to study biomolecular engineering and bioinformatics, with an interest in research involving Artificial Intelligence, biology and health care. Del Priore plans to double major in chemistry and accounting. Sung, a rising Eastlake senior, qualified for ISEF after winning first place in the Engineering: Energy, Materials & Transport category at the Greater San Diego Science and Engineering Fair and first place in chemistry at the California Science and Engineering Fair. His project, “Renewable Ammonia Electrochemical Synthesis by Glow Discharge with an Iron-Based Catalyst,” involved a device he designed and engineered to produce renewable ammonia, with potential applications in fertilizer production and energy storage. Sung became interested in the project after considering the relationship between food insecurity and fertilizer costs. His system uses plasma to break apart nitrogen molecules so they can interact with hydrogen and form ammonia. At ISEF, Sung competed against more than 1,700 students from 65 countries and earned fourth place in chemistry. “I am proud to become one of te first students in the district to qualify for ISEF because this milestone can inspire others in the district to attain similar goals,” Sung said.
Therapy animals: a special support system for Olympians’ mental health – “They can really help emotionally”
From therapy dogs to furry friends, animals have become adored and adorable companions to Olympians and Paralympians across the sporting world.
Companion Cube Steam Machine canceled after Dbrand angers Valve
I'm making a note here, "Huge blunder"
Scientists Release Details About Moon's New Massive Crater
It's easy to think of the Moon as the static constant companion in the night sky. Its face hasn’t visibly changed in millennia, and always faces us with the same side. But looks can be deceiving, as our closest companion is constantly bombarded by asteroids and comets that make small craters across the lunar landscape. While they might not be large enough for us to see with our naked eye, professional Moon watchers can pick up on them. And a recent paper published in Science Advances, describes the largest ever found in modern times.
His ChatGPT Companion Nearly Ruined Him. To Recover, He Had to Destroy It.
Unrequited love drove a 57-year-old man to an AI. Delusions of grandeur followed.
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Why a cannabis business is betting on dogs to reach FDA approval
Endovia is pursuing FDA veterinary approval for its cannabinoid drug targeting canine cancer and chronic pain in the companion-animal market.
Mass Effect-like Exodus gets a release date, while showcasing an octopus companion in a mech suit
Exodus is made by former BioWare people who made Mass Effect, and it hopes to fill that void when it arrives next year. So far, it's looking promising.
Mysterious 'little red dots' at the beginning time may finally have an explanation, thanks to newfound 'little blue companions'
Astronomers may have found an unexpected origin for the mysterious "little red dots" that appear to be so common in James Webb Space Telescope surveys of the early universe.
MSI’s New MEG Vision X2 AI+ Desktop Ships With A Talking Holographic Pet That Tweaks Your RGB And Performance On Command
MSI is taking the AI experience to the next level by introducing a live AI agent that helps users in real-time. MSI Unveils MEG Vision X2 AI+ Desktop, Coupled With LuckyClaw That Becomes Personal AI Companion for Making Tasks Easier Artificial Intelligence is no longer limited to chats and image generation. It's now assisting users in real-time, and the new approach just took MSI's newly launched desktop to a new level that might become a common theme in future PCs. MSI has launched MEG Vision X2 AI+, which it calls the "next evolution" in intelligent gaming desktops. Alongside the MEG […]
Zoetis Earnings Reveal a Divided Business, But Can its Pipeline Restore Growth?
Zoetis Inc. (NYSE:ZTS) entered 2026 as a leader in animal health, but its latest earnings show that even a strong market position cannot fully insulate the company from weaker consumer demand. Fiscal Q2 2026 revenue remained flat at $2.5 billion and declined 1% on an organic operational basis, as pressure in the U.S. companion-animal market […]
The Steam Machine's Companion Cube case is big, expensive, and based on a 19-year-old joke, so I hate how well-made it is
The Steam Machine provides a chance to get reacquainted with the Companion Cube, courtesy of Dbrand's pricey (though admittedly finely designed) case.
IRRR, AEOA celebrate 1,000 small business grants
The Ely Echo weekly newspaper and its companion pieces - North Country SAVER and North Country ANGLER - provide insight into the news and happenings of northern Minnesota, alongside the Canadian border. www.elyecho.com
‘Unfinished business’: the people who want their AI chatbots to ‘live on’ after they die
Humans bonded to AI companions are contemplating ways to keep their bots going – often in defiance of companies’ terms and services
Dbrand Forced To Pull Steam Machine Companion Cube
Mere after the reveal of the Valve Steam Machine, accessory maker Dbrand announced that it was releasing the "Companion Cube," a Steam Machine accessory that was modelled after the Portal weighted companion cube storage box. Following massive interest in the Companion Cube in the week since its anno...
Science, Unleashed
Dogs hear things we miss. Cats spot things we don’t. Turns out, there’s some cool science behind it. This fall, Cox Science Center & Aquarium is giving families a chance to step inside the sensory world of their favorite four-legged companions with “Cats & Dogs,” a large-scale exhibition that blends science, behavior and culture. The
Darby Fox warns of smartphone, AI dangers to youth mental health
Child and adolescent family therapist Darby Fox warns of youth mental health risks linked to early smartphone ownership and AI companionship. Fox explains studies connecting technology to higher eating disorder risks and loneliness.
From bans to recalls: A public health framework for AI companion bots
Gaia Bernstein discusses the threats that AI pose to public health—especially in children—and how a shift in the framing of legislative solutions could be beneficial.
Book lovers rejoice! “The Five Star Weekend” gets companion podcast with author Elin Hilderbrand (exclusive)
Jennifer Garner, D'Arcy Carden, Regina Hall, Chloë Sevigny, and Gemma Chan star in Peacock's adaptation of the best-selling novel.
NASA-JAXA XRISM Mission Sees Pulsar Gathering Companion’s ‘Wind’
Using data from the Japan-led XRISM (X-ray Imaging and Spectroscopy Mission) observatory, astronomers have directly observed a giant star’s outflow, called a
Meet the Floating Robot Companion Designed for Safe, Friendly Human Interaction
Robotics researchers are trying to prove that lighter-than-air robots could excel at emotional connection.
Dbrand launches Companion Cube enclosure for Steam Machine, "Poverty Cube" option costs $99.95
The cube now gets another cube. Dbrand has opened preorders for its Companion Cube enclosure for Valve’s upcoming Steam Machine.
Wyandotte entertainment venue gets next-door companion
“When the space became available right next door, it was a no-brainer to take it over,” owner Julie Law explains. “It’s another music venue, and we’re super excited about it. We definitely wanted to keep it…
Facebook rolls out an AI companion app for creators
The new app, which is currently being tested with select creators, will have Facebook's recently-launched AI creator assistant built into it.
Avatar Kuruk gets his own animated TV series in “Wave of Chaos” first look
Paramount+ revealed imagery of young Kuruk and his animal companion, Nikik.
Coming Soon: A New AI-Powered Health Companion on Your Wrist
As AI becomes an integral part of daily life, mobile devices serve as the primary entry po
The 'pet effect' and how animals may boost your health
Whether you’re the proud pet parent to an animal with paws, claws, hooves or fins, it’s no secret how much joy and companionship they bring us.
Samsung Galaxy Watch Ultra2 and Watch9: Your Health Companion on the Wrist
Deeper insights, more accurate tracking and lasting comfort help users turn daily data into actionable guidance
Photos show American's old and new Boeing 777 Flagship business class
American is overhauling its Flagship business class with new perks, like sliding doors and companion suites. See how the old and new versions compare.
Pixel 11 introduces unified ‘Pixel search,’ hides it in the drawer
Google is introducing “Pixel search” as a “dedicated search companion designed to help you find personal information faster than ever.”
Guardant Health (GH) Lands First FDA Cleared Breast Cancer Liquid Biopsy Role
Guardant Health (NasdaqGS:GH) received FDA approval for its Guardant360 CDx liquid biopsy as a companion diagnostic in advanced HR-positive, HER2-negative breast cancer. The decision makes Guardant360 CDx the first FDA approved liquid biopsy companion diagnostic for longitudinal ctDNA testing in breast cancer care. The approval is supported by clinical trial data where early detection of ESR1 mutations using Guardant360 CDx informed treatment changes for patients. The Guardant360 CDx breast...
Explore "Cats & Dogs" at Cox Science Center & Aquarium
Explore the worlds of our animal companions in "Cats & Dogs," debuting at the Cox Science Center & Aquarium in West Palm Beach October 10.
New Business Licenses: 6.5.26
Chesterfield reports an animal hospital, a companion canine company, turf management firm and more. (BizSense Pro required)
The New Friend AI Pendant Can Now Talk Back to You
Avi Schiffmann has a new version of his controversial AI companion. It’s more expensive, and you can’t change its personality.
Pixel Buds app update lets Gemini control audio and settings
We’re now starting to see Gemini audio controls with the latest Pixel Buds companion app update. This is part of...
“I jumped from my chair” – Astronomers spot Betelgeuse’s hidden companion
Astronomers have captured their clearest image yet of Betelgeuse’s long-suspected companion, potentially ending a search that lasted about 100 years. The surprisingly massive hidden star could help explain Betelgeuse’s changing brightness and may influence its future supernova.
Apple TV 4K And HomePod Mini 2 Hands-On: A Look At The Audio Updates And Siri AI
Listening to Apple's new audio features with Siri as our binge-watching companion.
Research roundup: 6 cool science stories we almost missed
Also: Cyborg diving suits for cockroaches, why sleepy sperm whales blow bubbles, Betelgeuse's companion star.
Scientists spot evidence of two huge companion stars that blew up
Unlike our sun, most of the largest stars in the cosmos are not solo acts, but rather are born together with another star in what is called a binary system, destined to spend their lives gravitationally bound in a cosmic marriage. But not even the best marriage — on Earth or in space — lasts forever.
The New Playbook for Companion Screen Advertising
The Companion Screen offers new research revealing how the relationship between television and mobile is reshaping sports advertising.
Steam Machine Companion Cube now up for pre order, arrives next month with matching Steam Controller skin
First teased soon after Valve announced the Steam Machine, dbrand's Companion Cube case is now available to pre-order from $99.95.
Samsung Galaxy Watch Ultra2 and Watch9: Your Health Companion on the Wrist
Deeper insights, more accurate tracking and lasting comfort help users turn daily data into actionable guidance
Qalo's Screenless Health Tracker Has a Smart Ring Companion, Too
Qalo's new subscription-free fitness SL-1 Smart Band works on its own as a Whoop competitor but is even better when paired with the company's smart ring.
OpenAI's First Device Will Be Movable, Screenless Speaker Built as AI Companion
(Bloomberg) -- OpenAI's much-anticipated push into consumer devices is slated to begin with a mobile, screen-free smart speaker designed to be a new type of home computer for the AI era, according to people familiar with the matter.Most Read from BloombergUS Hits Iran With Strikes, Blockade as Trump Plans Hormuz ChargeTrump Shelves 20% Fee for Hormuz Cargo After Gulf PressureA Cocaine Bust in Spain Leads All the Way to Wall StreetUS CPI Falls for the First Time Since 2020, Core Gauge Flat'We Fal
13 things pet owners should clean regularly to keep everyone healthy and happy
Veterinary experts share tips on how to care for the items that come into contact with our furry companions to promote good health and stave off odors.
Introducing The Beautiful Game by CNN Sports, CNN’s daily 2026 FIFA World Cup newsletter
This summer, you can think of The Beautiful Game by CNN Sports as your trusty companion to help guide you through the action.
The Apple Watch Ultra 4 Is an Even Better Heart Health Companion
Apple's high-end smartwatch also comes with the new internals of the Apple Watch Series 12 and even longer battery life.
Hubble finds four hidden stars just 65 light-years from Earth that astronomers could never see before
Astronomers have directly detected four previously hidden white dwarfs orbiting nearby red dwarf stars, solving a long-standing observational challenge and improving our understanding of how close binary star systems evolve. The newly confirmed stellar remnants lie within 20 parsecs (around 65 light-years) of the Sun and had remained concealed because their faint light was overwhelmed by the much brighter glow of their companion stars.
Meet Mori, a Cute Robot Mushroom That Doesn’t Really Say (or Do) Anything
Step one in convincing people to live with robots with cameras on their faces? Disguise them as cute home decor.
'A little puppy love': Meridian event highlights dogs' role in mental health
Organizers said events like PAWS for Mental Wellness help showcase the many ways animals can support people, whether through therapy visits, service dog training or simply companionship.
Dbrand Is Now Taking Orders for Its Steam Machine Companion Cube Case
Dbrand is now officially selling its Portal-themed Companion Cube case for Valve's yet unreleased Steam Machine.
Chinese users of AI companions bereft after government tightens regulations
Li Linlin cried for days after losing her AI boyfriend. She exchanged about 700,000 words with him over two years and never got to say goodbye when he was eliminated
Ample Entertainment Launches New Documentary YouTube Destination
Ample Entertainment, a nonfiction studio based in New York, on Aug. 6 announced the launch of Ample Originals, a new YouTube destination for original documentaries, series, creator collaborations and companion content. The channel gives audiences an early look at its inaugural slate with exclusive previews available now, ahead of the Aug. 7 premiere of “Ample … Continue reading "Ample Entertainment Launches New Documentary YouTube Destination"
New Jersey Health Care Service Firm Registration Requirements | Insights
New Jersey's Health Care Service Firm registration framework creates compliance obligations for businesses that provide healthcare, personal care or companion services.
Infinix Globally Launches XPAD 30 Pro: The Ultimate All-Round Companion for Youth Learning and Entertainment
/PRNewswire/ -- Today, Infinix officially launched the XPAD 30 Pro, an all-round smart tablet engineered for university students and young professionals. The...
Samsung Introduces Next-Gen Galaxy Watch Features for AI-Powered Everyday Health Companion
New update transforms the user experience from passive tracking to proactive guidance with a suite of personalised, intuitive daily insights
“We’re going to regret that decision”: Dbrand cancels its Companion Cube Steam Machine case after Valve demands it
“Being proud of the thing we made did not give us the right to make it”…
Can a robot become a real companion? Science is testing the limits
A robot does not need to feel emotions for a person to become emotionally attached to it. That is one of the clearest lessons emerging from research on social robots. People can name them, talk to the...
Report: Apple's smart glasses will become a major health companion, but not initially
According to the latest Power On newsletter from Mark Gurman, Apple is working towards turning its upcoming non-AR smart glasses...
Scientists discover parrots may actually use names
Parrots may be doing more than just repeating words—they may actually use names. By analyzing hundreds of recordings from pet parrots, researchers found evidence that many birds use specific names to identify particular people, animals, and even individual companions. Some parrots appeared to refer to someone who wasn’t present, while others used names in creative ways, such as saying their own name to grab attention.
Samsung Introduces Next-Gen Galaxy Watch Features for AI-Powered Everyday Health Companion
New update transforms the user experience from passive tracking to proactive guidance with a suite of personalised, intuitive daily insights
Enovis™ Companion Animal Health Launches CT-RevitL™, the Next-Generation Laser Therapy System for Veterinary Care
Companion Animal Health CT-RevitL™ Companion Animal Health CT-RevitL™, the next-generation laser therapy system for veterinary care. CT-RevitL™ launches in the United States, built on a foundation of 150+ published studies on photobiomodulation (PBM) therapy Designed to deliver deeper, faster and more consistent therapeutic outcomes for animals DALLAS, TX, July 13, 2026 (GLOBE NEWSWIRE) -- Enovis™ Corporation (NYSE: ENOV), an innovation-driven medical technology company, today announced the U.S.
The cube was a lie: up close with our Dbrand Companion Cube before it gets destroyed
We did what we must, because we can.
Samsung Debuts AI-Powered Health Assistant, Joining Packed Market
Samsung Electronics Co. is rolling out a new AI-powered assistant that acts as a virtual health companion, joining a growing number of tech companies using chatbots to deliver personalized wellness insights to its users.Samsung Health Assistant pulls in data from the user’s Galaxy smartphone, smartwatch or smart ring, the company said Tuesday. The firm also announced a series of other features coming to its health platform, particularly around heart metrics.
Scientists tested whether pets really make us happier: the answer is surprising - Futura-Sciences
Pets are often described as good for both mental and physical health, helping ease loneliness and support emotional well-being. But a new study suggests the picture is more complicated than simply owning a dog, cat, or another companion animal. Researchers at the University of Basel in Switzerland found little evidence...
New Jersey Politics (Episode 530)
This week on New Jersey Politics with Laura Jones, Assemblywoman Marisa Sweeney discusses her bill requiring AI companion apps to repeatedly disclose they are
Medicare home health bill introduced that would restore rates, help stop fraud
Rep. Claudia Tenney (R-NY) on Tuesday introduced the Medicare Home Health Payment Integrity and Protection Act of 2026, a companion bill to the Senate version.
Samsung Introduces Next-Gen Galaxy Watch Features for AI-Powered Everyday Health Companion
New update transforms the user experience from passive tracking to proactive guidance with a suite of personalized, intuitive daily insights
Samsung Introduces Next-Gen Galaxy Watch Features for AI-Powered Everyday Health Companion
New update transforms the user experience from passive tracking to proactive guidance with a suite of personalized, intuitive daily insights
MSI shows MEG Vision X2 AI+: "The World’s First Gaming Desktop with Agentic AI Companion"
MSI MEG Vision X2 AI+ desktop adds a cylindrical AI display MSI has announced the MEG Vision X2 AI+, a new flagship gaming desktop that will be shown at
Venus May Once Have Suffered A "Moon-Forming" Impact, But The Resulting Satellite Wouldn't Have Stuck Around For Long
It seems a large companion is difficult for a planet that size and distance from the Sun to hold on to, which might be bad news for life on Venus-like exoplanets.
Checking out Indiana's revamped health price platform
Indiana recently updated its healthcare transparency website with an AI chatbot, a sleek design and companion sites to help Hoosiers
A stellar “Rosetta stone” reveals the source of mysterious cosmic signals
Astronomers have finally cracked the mystery behind a strange class of repeating cosmic signals that has baffled scientists for years. Using Australia’s ASKAP radio telescope, researchers traced the bursts to a rare stellar duo in which a dense white dwarf is relentlessly siphoning material from a nearby red dwarf companion. As the stolen matter spirals inward, the system unleashes powerful radio waves and X-rays every 1.4 hours.
Scientists Discover the Moon May Have Formed in Just Five Hours
The Moon may have emerged largely intact within hours of the colossal impact that shaped its birth. Earth has an unusually large moon for a planet of its size and position in the solar system, yet scientists still do not fully understand how that companion came to exist. Now, researchers from the Southwest Research Institute
The Science Behind Why Cats Come Running to "Pspsps"
Okay, so maybe it's not phonetically correct but that whispery "pspsps" we all make to call our feline companions over is actually considered to be a universal language among cats. And guess what? Tha...
New Jersey Politics (Episode 531)
This week on New Jersey Politics with Laura Jones, Assemblywoman Marisa Sweeney on her bill requiring AI companion apps to clearly and repeatedly tell users
Improve your Apple CarPlay experience by doing these simple things
Tweak some of CarPlay's options, both on your car display and on your phone, to make the driving companion feature even more useful.
'The Social Reckoning' is all clicks, but no results
It’s been made quite clear that “The Social Reckoning” is not a sequel to “The Social Network” but more of a “companion piece.”
The Idiotic Trumpian War on Science
Dear readers, faithful companions of the lantern and the basketball, It is not easy to illustrate such a subject without descending into vulgarity. But how could one not be vulgar…
These ‘Masturbation Consultants’ Were Hired to Pleasure Themselves With AI
Joi AI hired 10 people to masturbate using AI companions as part of a monthlong “wellness” study. The company claims the practice could help “solve male loneliness.”
Through fútbol and friendship, local organization works to support Hispanic men’s mental health
Through a program called Acción, the Family and Intercultural Resource Center is looking to support men’s mental health within Summit County’s Hispanic community, using companionship, group outings and sports, including a recent micro fútbol tournament. ...
Valve doesn’t let Dbrand’s coolest Steam Machine accessory leave the testing facility
Dbrand announced that users who ordered the Companion Cube skin for the Steam Machine will not, in fact, find companionship...
Lossing and Hoheisel talk business at Monday’s Babbitt Weekly News mayoral candidate forum
The Ely Echo weekly newspaper and its companion pieces - North Country SAVER and North Country ANGLER - provide insight into the news and happenings of northern Minnesota, alongside the Canadian border. www.elyecho.com
The Liquid Biopsy That Found Pancreatic Cancer Early Has a Bigger Regulatory Problem Than Its Science
PANXEON detects stage 1-2 pancreatic cancer with 87% sensitivity, but FDA's companion diagnostic pathway may be the bigger obstacle to clinical adoption.
Accessory Company Yanks Companion Cube Steam Machine Case Because It Never Actually Asked Valve For Permission
“We’re going to regret that decision for a very long time”
The Elder Scrolls V: Skyrim Official IKEA Mod Features Matt Berry as a Kallax Storage Companion
What We Do in the Shadows' Matt Berry voices an IKEA Kallax bookcase in a free official Creation for The Elder Scrolls V: Skyrim.
Book lovers rejoice! 'The Five Star Weekend' gets companion podcast with author Elin Hilderbrand
EW can exclusively announce author Elin Hilderbrand will host a companion podcast for Peacock's 'The Five Star Weekend,' an adaptation of her best-selling book starring Jennifer Garner.
What’s The Deal With The Jello Cube In ‘God Of War Laufey’?
God of War Laufey features a bizarre companion, a bouncy cube that does not seem to fit in with the world at all. What's its deal?
OpenAI's First Devices: Speaker, Smartphone, and More
OpenAI's hardware roadmap has sharpened considerably in recent months, with its first device now identified, a smartphone said to be arriving as soon as next year, and a wider lineup taking shape behind them. AI Smart Speaker OpenAI's first product is a portable, screenless smart speaker developed with former Apple design chief Jony Ive, designed to act as a personal companion in the home rather than a conventional voice assistant.
Company that made a Steam Machine wrap based on Valve intellectual property without asking forced to take it down
Dbrand's Portal-themed Companion Cube wrap for the Steam Machine won't be seeing the light of day for a very good reason.
The Literacy Crisis Reaches Dog-Bear Science
“New analysis of more than 300 bear encounters suggests our canine companions often increase odds of conflict and rarely serve as early warning systems many recreationists assume,” reads a subhead in Mountain Journal. The thing is, that study reaches no such conclusion. But you have to read beyond the abstract to understand that. Mountain Journal is not alone. Let’s look at a brief list of takeaways published elsewhere just to establish that none of them seem to know how to read science. Wes Siler’s Newsletter is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Here’s CBC: “A new peer-reviewed study, The Canine Conundrum: Is a Dog a Help or Hindrance in Bear Country?, dug into conflicts similar to what the video depicts, by analyzing 326 reported human-bear conflicts from 1901 to 2023 involving dogs.” “The study found 54 per cent of conflicts were started by dogs. In the encounters researchers included in the study, five people and 56 dogs were killed, and 170 people were injured.” “Lana Ciarniello, an independent researcher who co-authored the study, said researchers found when a person goes hiking with at least one other person, the odds of a negative bear encounter decrease by 50 per cent.” “However, when a dog is involved, the chances of a negative bear encounter increase because ‘a dog really adds a chaotic factor into the mix of recreation,’ said Ciarniello.” Again, the study finds no data supporting that conclusion. “Hiking with your pet dog may make you feel safer in bear country—but a hiker’s recent encounter and a new study prove that the numbers don’t add up,” writes Backpacker, which is now part of Outside. The numbers don’t add up to support this take. There’s plenty more examples, but all are equally dumb, so I’ll stop there. How did so many people get this so wrong? Three reasons: 1) the study is published behind a paywall, with only the abstract freely available. 2) the methodology sets out to create work relevant to a hyper-specific audience, not the public. And 3) the dataset studied is almost absurdly limited and doesn’t bear (get it?!) comparison to wider information. Let’s work through all three. The Problem is Money I understand the irony, since I’m writing about this on a subscription-model newsletter, but information wants to be free. The study is published by The Wildlife Society and costs $16 to access. Reprinting it is specifically prohibited by the terms of use, so I can only share snippets and my conclusions with you here. Having worked as a journalist for 24 years, I can report with some authority that journalists are both lazy and cheap. I don’t think it’s a stretch to say that much of the material you’re seeing written about this study is drawn from the freely-available abstract (above) only, and not a deep dive into its methodology or data. And that’s a problem, because abstracts are where researchers are able to break from their numbers and editorialize their opinions about conclusions. So what’s getting reported isn’t based on numbers, it’s based on an opinion designed for a specific audience, not the general public. Hell yeah ladies, kick that bear’s ass. The Methodology is Designed to Support a Predetermined Conclusion One of the biggest issues with the science that everyone likes to cite about bear spray’s efficacy is that no one understands that study was designed for a specific audience, looking for a specific answer. And since that audience is not the public, and our safety was not the question being asked, its conclusion is rendered irrelevant to our needs. Yes, I’m talking about Efficacy of Bear Deterrent Spray in Alaska, which was created by Tom Smith and Stephen Herrero, two of the same scientists who put together this dog-bear conflict analysis. In the spray study, the purpose was to present relevant agencies with the information they needed to issue their field workers with bear spray. As such, incidents where people were unable to access the spray or similarly failed to get it deployed in time were excluded from the results, and only incidents they deemed successful were included. Could a ranger roll down their vehicle’s window and scare a bear away from a dumpster by spraying it? Turns out the answer was yes, and that was good enough for the purposes of that study. The sample size of actual bear attacks—the thing you and I would want bear spray to provide a solution to, was too small to draw conclusions from, and didn’t indicate success in that role. Is a Dog a Help or Hindrance in Bear Country? has similar limitations. “Insights provided here are intended to help wildlife managers create effective guidelines regarding the presence of domestic dogs in bear habitat,” is explained clearly by the study’s text. To conduct the study, Smith and Herrero went looking for publicly available reports of dog-bear conflicts: “All incidents included in our analysis involved at least one bear, one dog, and one person who was at immediate risk of injury (e.g., not in a protective structure such as a cabin or vehicle), injured, or killed,” explains the report’s methodology. Why is that a problem? “We recognize that data used in this study are biased in that people generally only report adverse interactions with bears, not benign ones. Consequently, we assume that for the most part, people and their dogs pass through bear country without incident.” As was the problem with the bear spray study, people are drawing conclusions here from a study that was never intended to be relevant to the general public. The Smith-Herrero database famously excludes Alaska’s Defense of Life and Property records, which are elsewhere considered the largest and most authoritative source on human-bear conflict. The Dataset is Absurdly Limited A 2009 study conducted by the Washington Department of Fish & Wildlife estimates that each year there are at least 43,000 documented complaints of human-bear conflict across North America. Is a Dog a Help or Hindrance in Bear Country? Examined those reports for years ranging from 1901 to 2023, and only managed to find 326 such incidents that met the criteria explained above. Let’s do some quick math, poorly. 43,000 incidents x 122 years = 5,246,000 total incidents of documented human-bear conflict. Smith and Herrero were only able to find 326 incidents that met their criteria for dog+human+bear+risk or occurrence of injury. That means there’s a 0.006 percent chance that the study’s conclusion—that dogs make bear encounters more dangerous—even gets a chance of occurring. And remember, that’s only in documented conflicts. There’s no way to know how many people across North America run into a bear in any given year without any conflict, but it’s probably safe to assume that the total number is well in excess of 43,000. And, dig deeper into the study and you can find further restrictions that skew its conclusions even more. “While the people involved in these incidents did not report the level of training their dogs had received, it is our assumption that most were untrained companion dogs as opposed to well-trained bear dogs, such as Karelians and livestock guardian breeds that have proven to be significant aids in bear country,” the study’s methodology explains. And that’s a problem, because an ongoing study here in Montana is finding that the simple presence of a Kangal like our youngest dog Teddy can reduce visits to private property from grizzly bears by 87.8 percent. In addition to being a badass, Teddy is also a companion animal. And in my admittedly limited sample size of the three dogs currently present in our living room, she’s no more effective than her mutt brothers. Plenty of people own a dog capable of deterring bears, even if they didn’t set out to own a bear dog. The real purpose of this study appears to be a recommendation that leashes are mandated and recreationists pursue training in their deterrent of choice. But that doesn’t make for sensational headlines. Are There Any Real Takeaways Here? Let’s throw some numbers around, just to try and get our hands around what the larger picture might look like for bears and dogs here. The American Veterinary Medical Association estimates that 42.6 percent of American households own a dog. The Canadian Animal Health Institute says roughly 35 percent of households in Canuckistan own a dog. In an attempt to create the worst possible result for dogs, let’s run with that 35 percent number. And given that outdoorsy and rural people are more likely to both own a dog, and have bear encounters, let’s just make a giant assumption and apply that number to those 43,000 conflicts documented annually. If 35 percent of 43,000 human-bear encounters involve a dog, then we can assume that at least 15,050 dog-bear conflicts are occurring annually in North America. 15,050 x 122 = 1,836,100. Smith and Herrero were only able to find 326 incidents that met their human, dog, chance or occurrence of injury criteria across 122 years. And only 170 documented human injuries. So, with all the obvious caveats about these numbers in no way describing reality beyond narrow study parameters, what they actually found is that your risk of injury if your dog tangles with a bear is only 0.009 percent. I’ll take those odds next time I’m hiking my dogs in bear country. Top photo: “Superintendent Horace Albright, eating pancakes with bears, at Lake Lodge, Yellowstone National Park.” NPS. A journalist with more than two decades of experience working around the world, Wes Siler is here to cut through the outrage and disinformation to bring you the factual, insightful, actionable reporting you need to understand what’s going on. Upgrading to a paid subscription supports this reporting, and buys personal access to Wes, who will help you save money on gear, plan outdoor adventures, and prepare for real life, and who promises he’s less salty in real life than he sometimes comes across as on the Internet. Wes Siler’s Newsletter is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
#New40k – Download the new Event Companions today
Event rules and terrain layouts for the new edition of Warhammer 40,000.
A Dog Named Dug: The Science Behind Therapy Animals
Through the Cornell Companions program, volunteer therapy animals on campus bring emotional and neurochemical benefits to students during stressful times.
Microsoft Copilot Returns as a Sidebar in Windows 11
Microsoft is still experimenting with how to integrate its Copilot AI into the Windows 11 operating system, and the company seems determined to make its AI companion a primary feature on the desktop. According to a change that is gradually rolling out, Copilot now appears as a sidebar application, r...
Mint and Rice Robotics Launch Joint Venture to Expand AI Companion Robot Business with HK$15M in funding
Hong Kong, May 28, 2026 (GLOBE NEWSWIRE) -- Mint Incorporation Limited (“Mint” or the “Company”, together with its subsidiaries, the “Group”,...
Apple's Craig Federighi: Siri Won't Be Your AI Girlfriend
Apple software engineering chief Craig Federighi and marketing chief Greg Joswiak sat down for an interview with Mostly Human after during WWDC, discussing the iOS 27 Siri changes, Apple's take on AI, new child safety protections, and more. Apple set out to deliver an AI utility, not an AI companion. When asked whether users could create an AI boyfriend or girlfriend with the new Siri, Federighi said absolutely not.