Sequel to the 'Lie to the Professor' experiment. I challenged the silicon colossi with absurd correlations. Not one spotted the nonsense—revealing an algorithmic 'horror vacui' that poses a threat to scientific integrity.
I asked my residents to invent hemoglobin data in 60 seconds. I used six forensic techniques to catch them. Spoiler: Statistics always wins.
Practical Guide with R for Developing Robust Predictive Models in Clinical Settings
IMRaD is the publication standard, but it need not dictate the writing process. This post argues for a 'reverse' writing strategy—from findings back to the introduction—as a method to enhance honesty and clarity, distinguishing it from HARKing and aligning narrative with genuine scientific discovery.
By Maicel Monzon Are LLMs actually thinking, or are they simply creating a magnificent illusion of reasoning? From ChatGPT to Gemini, these tools often seem human, but their “intelligence” is born from an ocean of data and a massive statistical architecture.
Curious examples, short rigor notes, and a practical checklist to avoid confusing correlation with causation in scientific research.
