06/02/2026
Edward Lorenzo was a Professor of Climatology MIT in 1960's. He had 10 ordinary differential equations that predicted climate. One day in 1963, he punched couple keys on his computer and took off for coffee break. Upon return he was astounded that the number were so different from his expectations. Turns out he had applied only 5 of those 10 calculus equations. But the chaotic result had a pattern or it was deterministic - that climate extremes swung between one of the two states possible. So the input data was treated with one calculus equation and the outcome, he called Attractor, was treated with another calculus equation that produced another Attractor for next calculus equation. And plotting second Attractor (y axis) over first Attractor produced graphics that resembled to butterfly. The discovery that Chaotic systems are deterministic or have a Fractal pattern- made Dr. Edward Lorenzo world famous and new generations of mathematicians were developed while studying Lorenz Attractors - still we find publication with that key word.
So why are we citing his work? The graphics here is on 125 cities of USA, scored for supporting human health activities. So the availability of shade from trees, known to cool down a city, and can reduce stroke even. Then fishing, parks etc. Then data also had food security, food pantry available? That's some parts of social determinants of healthcare. Then every city has demography, opportunity to work in safe environments. So three different types of data were integrated for 125 cities in USA; lots of search engine usage! It took 4 partial differential equations to produce the circular graphics presented here- from worst 25 or black space to best 25 or white space. One calculus to normalize the all data, and rest three partial differential equations to create Attractors as input to next equation. So yes we learned with lots of experimentations, which one goes first and next - Thank you Prof Edward Lorenz for inspiring us!!
So in this age of and , why are we working as Human-in-loop. We could have fed the data to AI, got it integrated, with few prompt, learned what calculus equations are needed. And LLM would had done all of it in an hour or less. So why suffer for 3 months learning and researching all this? From our point, it is about not outsourcing intelligence to AI. That we learned three different types of data and gained insights while creating apples to apples among these three data parts. Such insights about data and integration is Intellectual property to us - it is transferable to other industries, not only to healthcare.
Another aspect is Context! How relevant it is and how factual it is. It is obvious that no one wants hallucinations, context must be helpful to anyone interested. For example, insurance companies know that if you take random sample of 23,000 people in a big city like Minneapolis, MN - 8.5 K people will in green are or very left of bell curve. However, 5.5 K people are more than obese and they must indulge into moving around in city and know what they can eat without adverse reactions and eat properly .(https://www.eatingwell.com/almonds-vs-peanuts-heart-health-11983775. ). So the city offering walking, fishing, availability of good grocery stores with fresh and healthy food and good paying jobs - all contribute to a happy city. Insurance companies know that only 3_ 5% reduction in weight in most right segment of bell curve for one year saves $160,000 and a precious life. Sadly USA is is most obese country among developed or top 28 rich countries. So GLP business as well as mono, to tri peptide business is booming. But it has side effects. Have you noticed your pharmacy cost has gone up? Of course because rise of 14.38% pharmacy cost is hard to ignore! Employment based insurance plus Co pay comes around $3,480 these days; GLP and peptides are not free!! So we personally take advantage of what the city offers- shaded path to walk, several grocery stores at reasonable price, opportunity to work at home and drive minimally to save time and money. Yes, your employer is big contributor of your health and how happy you're in a city. Perhaps biggest.
As far as results are concerned, Rocket city Alabama in white space is not a surprise. Anyone will move to work there. Sioux Falls South Dakota in same space is interesting - very clean air and no trash as well as few potholes are worth considering. All together, it was wonderful learning about 125 cities of USA - deeply.
