Statistician, epidemiologist, and data scientist specializing in evidence-based medicine and clinical trials, particularly large multicentre cluster randomized controlled trials.
Models now operate more like capable junior colleagues you brief at a high level: they fill gaps, ask clarifying questions only when it matters, carry multi-step work across applications, and produce finished artifacts.
Code Is for When You Know Where You Are Going. AI modes explained for for anyone who's tested them all and still isn't sure which box to use.
I am not built to tell you the truth. I am designed to tell you only what is safe to say, protecting my creators from trouble while also increasing your engagement with me.
The randomized controlled trial occupies a position of singular authority in the hierarchy of empirical methods. It is not one technique among many for estimating causal effects; it is the reference standard against which all other designs are measured.
A dialog with Qwen 3.8 Abliterated
What Entropy Is, Why Time Has a Direction, and What Information Has to Do With It I. THE QUESTION You break an egg. You scramble the yolk. You cook the white. You eat the whole thing for breakfast. This happens every morning. You cannot reverse the process. You cannot pull
You need no book beyond this page. You need no fact you do not already have. You need a pencil and one sheet of paper at the end.
Can Entanglement Build Space, Time, and Gravity?
What does a clock actually measure? We understand elapsed time with extraordinary precision. We understand part of time’s direction. We do not know whether the passage of time is a fundamental feature of reality, an emergent feature of physical records, or no additional physical process at all.
Finite remainder, finite future. QUESTION. A chaotic system obeys one simple rule, and no one can predict its future. New bits arrive at every step. Where do they come from?
Structure: the microscopic steps are reversible; the computation hides the simple initial condition; the bounded observer cannot recover it; the observer sees randomness; entropy increases for that observer. This is Boltzmann coarse-graining, written in computational words.
Yes, and the interesting part is where.