About
Replication and verification: github.com/rkpagadala/education-of-humanity — every numerical claim on this site is checked against source data.
Author
Krishna Pagadala is a software engineer of twenty-five years' practice, self-taught in the substantive literatures over the same period; not an economist, not from any discipline this work crosses. The argument in the paper and the essay is a policy argument backed by reproducible data, not an academic credentialing exercise — no specialised training is required to evaluate it. He has read into evolutionary biology, demography, energy economics, and causality theory over twenty-five years. Hunger and Public Action by Amartya Sen and Jean Drèze is one of the most important books he has read. He worked for ten years to secure its Creative Commons release, with Drèze's support throughout. From Guntur, India. Based in San Jose, California.
Contact: [email protected]
Verification
Every number on this site, in the essay, and in the paper is traceable to a script that produces it from source data. All scripts, all data, and both forms are published at:
github.com/rkpagadala/education-of-humanity · or download the zip directly
Clone the repo or unzip the archive, run make verify, and check every claim yourself. Every specific number in both papers is traceable to a script that produces it from source data.
The Chatbot
The chatbot is powered by Claude (Anthropic) with live access to the 185-country dataset. It runs analysis scripts against the actual CSV files, not from memory. It can only cite verified facts from a curated reference file. If you find an error, report it.
Acknowledgments
Education data from the Wittgenstein Centre, led by Wolfgang Lutz. The data visualization at data.educationfirst.world was built by Jaya Shankar.
The code, statistical analysis, prose drafting, and site construction were written by Claude (Anthropic) under the author's specification and direction. The theoretical framework, arguments, conclusions, and all errors are the author's. Every empirical claim was verified against the data by reproducible scripts, not by trusting the language model's output. Scripts and data are published at the GitHub repository linked above.