Deriving empirical knowledge is traditionally a money-taking, not a money-making exercise. The challenge here is to formulate a business model that can derive the knowledge while making money at the same time.

A few years ago I started playing with epidemiological data for the USA and invented an accurate method for calculating the probability of association between datasets (the method is stated in the first example below).

One of the theories that find confirmation in the results is that foods have greater or lesser positive health effects. In this case, it would be valuable to us if we could list the common foods from the most to the least healthy. By choosing foods from only the healthy half of the list, we could immediately improve our health.

Here are a few examples that show the magnitude of the health improvements we might expect:

The mixed vegetable consumption rates for the 50 American states (DC combined with Maryland) were established by a large government survey. My study determined this:

The 25 states with the highest consumption of mixed vegetables, excluding green salad, potatoes and carrots, have an average Premature Death rate 19.3% higher than the other 25 states. The chance of finding that much premature death among 25 random states is about 1 in 500,000.

To determine this, I had a computer loop select 25 random states and summed a weighted average for the premature death rate. Only twice in a million loops did the imaginary premature death rate meet or exceed the real 19.3% figure.

This result suggests that, once green salad and carrots are removed from the data, both of which measure high in positive health effect, vegetables are on average less than healthy.

Here are three examples in the opposite direction:

The 25 states with the lowest Daily Green Salad rates have an average Death rate 14.6% higher than the other 25 states.
Probability is 1 in 37037.

The 25 states with the lowest Daily Fruit rates have an average Death rate 12.7% higher than the other 25 states.
Probability is 1 in 6993.

The 25 states with the lowest Daily Carrot rates have an average Death rate 10.2% higher than the other 25 states.
Probability is 1 in 890.

data for this:
schs.state.nc.us/SCHS/brfss/2003/us/vegetabl.html
schs.state.nc.us/SCHS/brfss/2003/us/greensal.html
schs.state.nc.us/SCHS/brfss/2003/us/carrots.html
schs.state.nc.us/SCHS/brfss/2003/us/fruit.html
cdc.gov/nchs/data/nvsr/nvsr53/nvsr53_15.pdf
unitedhealthfoundation.org/shr2003/components/prematuredeath.html
population 2004:
wonder.cdc.gov/wonder/sci_data/natal/detail/type_txt/natal04/TechAppendix04.pdf

These results don't prove cause and effect and are therefor only suggestive.

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I have posted one business model that could create the food/health list in the "Looking for Capital/Biz Partners" forum under the title "Advanced Dietary Research Project." I'm not allowed to post links here yet, but the text below will take you directly to that post.

Can anybody here suggest another model that would allow the required data to be collected while making money at the same time? Any ideas would be greatly appreciated.

youngentrepreneur.com/forum/f23-looking-for-capital-biz-partners/advanced-dietary-research-project-entreprenuer-business-partner-and-investor-needed-61661.html