I continue to use the clickable image below, though it dates from a time when I naively ignored the dangers of Social Technology.
- Data Science and Terminology
- Data Science
- Recursive Exhaustion Wipes Out Privacy
- What’s a Gigabyte Good For?
- Please Do Whatever You Can to Publicize This Website
- Good vs. Evil, really!
- Using Anonymous Data
- What’s Wrong With The Brooklyn Bridge Example
- Internal Recursive Exhaustion Example
- New Tool can Make Society Work or Destroy It
Monthly Archives: April 2018
Good vs. Evil — the oldest plot line in history. This post is about available data — do we try to keep it out of the hands of the bad guys or let us defend ourselves with it? There is … Continue reading
Enormous Value and Use of Anonymously Collected Social Data I don’t want to give the game away, but I have too many technical details on a (hopefully) imaginary conspiracy in the techno-thriller novel I’ve been writing to actually fit within … Continue reading
This is a piece of the Brooklyn Bridge example image in the Internal Recursive Exhaustion post. It is remotely possible that in my lazy slapdash way I constructed a poor example. If you read the full page, you will see … Continue reading
This image shows not only the Brooklyn bridge but it’s history. Here is a fictional account of recursive exhaustion over the time domain, from an unfinished novel. In it a brilliant young woman mathematician explains internal recursive exhaustion. In it, … Continue reading
For more than half of my life I have had faith in the potential of social technology to change the world for the better — making all of us happier, ending worldwide conflicts, eliminating poverty and funding medical research. But … Continue reading
The most interesting part of Recursive Exhaustion is the recursive step of multiplying the number of data fields. My genealogical example shows how a sequence of five numbers serving as a descriptor for a person can be expanded first to … Continue reading
This website explore a remarkable new method for social data collection which makes the notorious acts of Cambridge Analytica look trivial.