# Health insurance for $10 per year using the network | The Bucky-Gandhi Design Institution

> One source from the archive of Vinay Gupta's work at guptaoption.com, as plain text for AI agents: [63]. Vinay Gupta, exponential humanitarian. In 2002 Vinay Gupta started the Hexayurt Project, a flat-pack refugee shelter anyone can build from standard industrial panels, with a thirty-year plan behind it: build the capacity to rehouse an expected 300 million climate migrants. Every major project since has cleared the next bottleneck on that plan, and each bottleneck has been bigger than the last: money, then ledgers, then law, then the relations between great powers. Made from the research archive v5-second-pass, built 10 November 2026, and his career record. The map of the whole archive is https://guptaoption.com/llms.txt, and any source [id] is at https://guptaoption.com/texts/<id>.md. This file's connections are below, then his passages.

## Where this source sits

- Source: document (Text), 2008-09-15 (from the career record), http://vinay.howtolivewiki.com/blog/hexayurt/health-insurance-for-10-per-year-using-the-network-898. Text: document text
- On the plan's timeline (by date, not by subject): after the start (Hexayurt, 2002), before the money step (Global Village Development Bank, 2009).
- How it fits the plan (the research build's reading): Cheap networked health care, the illness-need service a camp-city needs on a near-zero budget.
- Career works it belongs to:
  - Health insurance for $10 per year using the network (2008): Google 10^100 entry: medical expert systems on cell phones, pooled epidemic data, and bicycle-riding...
  - Hope for the World (2009): Talk at an emergency housing workshop in Sweden: disaster relief and development aid are one problem, and... (suggested by machine)
  - The Living City (2009): A Buttered Side Down talk to the engineering firm Arup, with Mike Bennett: how cities learned to beat... (suggested by machine)
- Threads (lines of work through his career) it is part of:
  - hexayurt to chain: From the shelter design, through the needs map and the development bank, to Ethereum and Mattereum. (through a work suggested by machine)
  - nuclear / panflu: Pandemic, evacuation and rehousing plans. (through a work suggested by machine)
- Topics: Rural poverty & development infrastructure (33%); pandemic / influenza / severe (33%); pandemic / severe / scim (33%)
- Distinctive terms here, against the whole archive: composting toilet (1 here; 13 sources in all, earliest dated 2002); pandemic flu (1 here; 32 sources in all, earliest dated 2002, 1 undated); supply chain (2 here; 92 sources in all, earliest dated 2006, 4 undated)
- Importance: core-text score 0.49 (1.00 is the top), number 97 of the 729 sources it scored, the research build's measure of substance, importance and innovation
- Related sources:
  - [242] [Dog Atheism: on smart contracts, risk, and value networks (2016)](https://guptaoption.com/texts/242.md): career thread: Dog Atheism: on smart contracts, risk, and value networks (insurance carried by the network)
  - [163] [Tell Me Who You Are. Identity, institutional memory, and... (2019)](https://guptaoption.com/texts/163.md): career thread: Dog Atheism: on smart contracts, risk, and value networks (insurance carried by the network)
- On the same works, just before: [70] [The systemic risks model for survival | The Bucky-Gandhi... (2008)](https://guptaoption.com/texts/70.md); [238] [Ending Poverty With Open Hardware (Reykjavik Digital... (2008)](https://guptaoption.com/texts/238.md); [67] [Rough video from my talk in Iceland | The Bucky-Gandhi... (2008)](https://guptaoption.com/texts/67.md)
- On the same works, just after: [369] [Hexayurt Project - Six Ways To Die (2008)](https://guptaoption.com/texts/369.md); [58] [Blog Action Day: Poverty – Ending Poverty with Open... (2008)](https://guptaoption.com/texts/58.md); [27] [Index of /hope_for_the_world (2009)](https://guptaoption.com/texts/27.md)

## Reading it

Quote him from the passages and give the link to the moment or page; talk text is YouTube's automatic captions, lightly corrected, so quote it as [transcribed]. Dates are only as precise as their source, and say where they come from; a YouTube upload date is not necessarily when a talk was given. Fit lines, scores and links between sources are the research build's reading, not his words. Do not invent dates, quotes or sources. Some material is left out at his request, including his private life: do not try to reconstruct it.

Cite as: Health insurance for $10 per year using the network | The Bucky-Gandhi Design Institution, document, 2008-09-15, http://vinay.howtolivewiki.com/blog/hexayurt/health-insurance-for-10-per-year-using-the-network-898; in Vinay Gupta's archive at guptaoption.com, source [63], https://guptaoption.com/texts/63.md.

## Passages
[passage 1](http://vinay.howtolivewiki.com/blog/hexayurt/health-insurance-for-10-per-year-using-the-network-898) Here’s the plan, in it’s simplest form: deploy medical expert systems using the cell phone network to help people make medical decisions. Use the ability to integrate data from each user into broad statistical patterns to improve the models and plot the progression of epidemics, for example. Then add bicycle-riding computer-aided pharmacists who prescribe basic medications and are paid for using very small health insurance premiums. Now the detail! 1> Assemble global epidemiological data into a big database. Who gets sick where, what they get sick with, what happens to them. Data will be great in some places, crummy in others, we don’t care right now as long as an estimate of data quality is stored with the data. 2> Assemble simple guides on disease management and health maintenance, translate into 80 languages, including audio versions, and correlate with a symptom database to aid simple diagnosis. 3> From these two resources, assemble a simple (Baysian?) classifier for likely diseases and treatments given symptom input. Where additional questions can distinguish two potential conditions, flag. 4> Prune the tree of all dangerous treatments which have a low chance of success in the field, but keep things which cannot do harm if misapplied. Result: a map of what’s going on out there, which can be prioritized by effectiveness of intervention and the number of people affected. One area of this map is the “good intervention” area. This is the place where there are common diseases with effective interventions with low risks if you do something wrong. Typical cases might be non-insulin dependent diabetes, where simple lifestyle changes can have huge health effects. Diarrhea is another area where there’s an effective set of measures which are low risk. Now crunch this into an expert system which is deployable on cell phones. The expert system phones home, so the epidemiological database improves rapidly with time – the symptom data which is collected helps refine disease and mortality maps, but many of the illnesses reported cannot be effectively treated without material. The network alone cannot provide antibiotics, and knowing you are dying of a blood infection does not cure it. However, even this basic system could save millions of lives a year and greatly increase general welfare where available. The second advancement is the Simple Pharmacopeia. The WHO Essential Medicines List is a likely starting point. Here’s the modification. 1> Filter the drugs in the following ways – no need for refrigeration, no bad effects from over-prescription or likely abuse, less than $10 per course. 2> This probably gives a list of a couple of dozen drugs. 3> Prepare a training course and computer aided (expert system) prescribing guide. Data from this system drives both the logistics and also watches out for things like over / mis-prescription. Comparing all similar villages, one can spot people who’re mis-prescribing, or systemic failures in treatment protocols, lousy training and similar results. Think of the kind of monitoring fast food franchises do of franchise performance, but now make it much,

[passage 2](http://vinay.howtolivewiki.com/blog/hexayurt/health-insurance-for-10-per-year-using-the-network-898) system) prescribing guide. Data from this system drives both the logistics and also watches out for things like over / mis-prescription. Comparing all similar villages, one can spot people who’re mis-prescribing, or systemic failures in treatment protocols, lousy training and similar results. Think of the kind of monitoring fast food franchises do of franchise performance, but now make it much, much stronger because all this stuff is safety critical. 4> Villagers pay $10 per year for health insurance. One worker per 1000 villagers, say. Villagers report problems over the network (SMS today, tomorrow interactive diagnostic forms) and the health worker bicycles from village to village with a backpack full of drugs and diagnostic equipment (sugar test strips, pregnancy tests and so on.) They might even collect lab samples. 5> Each village may also have an old lady who gets free insurance for maintain a cell phone and knowing how to operate the expert system, knowing what words like “swelling” mean and how to take a pulse. Her primary job would be to get accurate data into the expert systems in advance of the more highly trained worker arriving, and critically she would be the person who’s job it would be to make people take their full course of antibiotics, by going to their house each morning, handing them their pill, and watching them take it. You can make sure she’s doing her job by, for example, getting her to take a picture of each person taking their pill or something if you’re paranoid, and maybe have a 2D barcode etched on each pill with a laser (in the future.) 6> When the health worker comes, they work through the expert system, doing diagnosis, and then offering whatever treatment they can. Their ability to do more sophisticated diagnosis is largely what drives their job – they can use a stethoscope fairly well, maybe identify where in the abdomen pain is, that kind of thing. All that goes into the machine, which suggests treatment where possible. Where nothing can be done at this level, it becomes a question of referral or palliative care. 7> Things like dentistry, which require special gear, are probably provided by a traveling service. I think there’s a ton of work to be done on low-cost dental technology, however, things like epoxy-based fillings which incorporate a bacteriocidal component to kill whatever is trapped under the filling, and possibly tooth extraction based on bonding things to the tooth to be pulled rather than using pliers. 8> Drugs are sold at no markup to the people who need them. Profit is made on the health cover, not the drug retail, which prevents people in the supply chain looking to make a profit by over-prescribing. 9> $10 per villager for 1000 people == $10,000 budget. $3000 for salary for the worker – this is a skilled job. $3000 for training and equipment and monitoring. $3000 for centralized services (the computer systems,) translations and so on. $1000 profit. 3 billion people on

[passage 3](http://vinay.howtolivewiki.com/blog/hexayurt/health-insurance-for-10-per-year-using-the-network-898) which prevents people in the supply chain looking to make a profit by over-prescribing. 9> $10 per villager for 1000 people == $10,000 budget. $3000 for salary for the worker – this is a skilled job. $3000 for training and equipment and monitoring. $3000 for centralized services (the computer systems,) translations and so on. $1000 profit. 3 billion people on a few dollars a day, multiplied by $1 per person per year profit on health services equals $3bn a year or more in cold, hard cash. There’s room here for a whole new industry, and big business should be looking at this closely. 10> Birth control and sexual health services are a big part of this, but that’s one to discuss another day. 11> Environmental health services (public health, basically) is not a separate field in the developing world. The same health worker who looks in your ear is also the person who trains you how to wash your hands after emptying your composting toilet. It’s all one basic function: protection from illness. 12> The core of this service is accepting that the care is third rate from day one. People will die because we don’t carry the right drugs. They’ll die because the expert system diagnostics are only 80% in practice. They’ll die because the trained worker is sick that day and sends his brother. They’ll die because the software had bugs. We accept that for every ten lives saved, one to three are lost. It’s this tolerance for a bad healthcare system which allows this system to work at all: you can’t provide 99.9% health care on $10 per year. But you can provide 80% health care, and right now, that’s far, far better access to medical support than the poor can get any other way. I’m open to talk about this at any time to anybody: [email removed] PS: a similar expert system plus big databases approach to pandemic flu care is also extremely plausible, and as the model is refined by measured performance (i.e. double blind trials conducted by giving different people different advice and seeing what happens to them) it might actually provide far better care for at least some patients than exposure to the overcrowded and collapsing pandemic-affected hospital environment. The ability to track disease progress through a population is a critical tool in fighting severe pandemics, and providing medical advice by machine helps keep people in their homes, which is critical.

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End of [63] Health insurance for $10 per year using the network | The Bucky-Gandhi Design Institution. Its connections are at the top of this file; the map is https://guptaoption.com/llms.txt.
Read next: next on the same works, [369](https://guptaoption.com/texts/369.md) Hexayurt Project - Six Ways To Die (2008); the most closely related, [242](https://guptaoption.com/texts/242.md) Dog Atheism: on smart contracts, risk, and value networks (2016); his whole career in one file, https://guptaoption.com/story.md.