Scientific Evidence & Research Integrity
8 reportsInterpretation of study design is tested with replication and uncertainty analysis. The discussion therefore addresses which biases threaten validity and how consensus is established, explaining what the method can estimate and what it cannot establish.
Ancient Human Brains Preserved by Unusual Chemical Pathway
Researchers have identified a chemical process that explains why brain tissue sometimes survives for millennia in archaeological contexts, challenging assumptions about soft tissue decay and offering new insight into ancient preservation
Tesla Records Worker Movements to Train Optimus Robot in Germany
Tesla is collecting video data of employee assembly tasks at its Grünheide Gigafactory to train the Optimus humanoid robot for autonomous industrial work, raising questions about workplace monitoring and regulatory oversight
How Bell's Theorem Emerged from an Unusual Physics Journal
John Bell's 1964 theorem on quantum nonlocality was first published in a short-lived journal with an unconventional editorial model. The story of this publication highlights the challenges of peer review, editorial selection, and scientific recognition in quantum physics
Climate Research Progress and Challenges Since 2022
A multidisciplinary journal launched in 2022 has published over 270 studies on climate variability, risk, and mitigation. Experts now assess how the field has evolved and what scientific and technical barriers remain
Modeling Study Traces 1789 Smallpox Outbreak to British Arrival
A new modeling study uses historical and epidemiological data to argue that the 1789 smallpox epidemic among Indigenous Australians likely began with British medical material brought by the First Fleet, challenging earlier theories of northern introduction
Viking 1's Mars Life Experiments: What the Evidence Still Can't Prove
Fifty years after NASA's Viking 1 lander touched down on Mars, scientists remain divided over whether its life-detection experiments found evidence of Martian biology or were confounded by non-biological chemistry and instrument limitations
AI in Particle Physics: Discovery Without Full Understanding
Artificial intelligence is now central to particle physics, accelerating data analysis and experiment design. But as AI systems identify patterns beyond human intuition, researchers face new challenges in transparency, reproducibility, and scientific interpretation
AI-Generated Content Challenges Scientific Integrity in Physics Publishing
The rise of large language models is introducing fabricated references and unverifiable data into scientific literature, forcing physicists to scrutinize sources and reinforce core research skills to maintain trust in published results