Rufus Pollock

Rufus Pollock is Founder and President of Open Knowledge.

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  • Dear Rufus,

    Always nice to read the various blogs that come out of the “Open Data” movement but I am not so convinced that data itself would eventually generate unbiased knowledge and down the road…better “collective” decision making!

    First of all…data is tainted, political and bias — Who is collecting that data and the reason the data is made public. The second is the “cost of opportunity” which is “…..the value of the best alternative forgone, in a situation in which a choice needs to be made between several mutually exclusive alternatives given limited resources.
    Assuming the best choice is made, it is the “cost” incurred by not
    enjoying the benefit that would be had by taking the second best choice
    available…”

    All this to say that we know that smoking will kill you but lots of people smoke. What drove people to stop smoking is when we implemented “punitive measure” to smoking. Laws that prohibited people to smoke in public places, restaurants, etc…combined with increased taxes…so the opportunity cost became the second options (not smoking).

    Data alone gives you little information or can send the reader on the wrong course which is often political or biased. Here is another example — the producer of Guanabana paid researcher to study the benefit of the fruit…it’s actually 10,000 times more potent than chemotherapy. Another unbiased research showed that eating Guanabana can cause Parkinson Diseases…now that I am informed..what should I do? The situation can be further complicated by access to other foods or not…limited options…go for the “opportunity cost” (being hungry). The reader has little context about the data!!

    The same goes with data collected about government spending or any other set of data for that matter.

    Data is tainted and making data public should come with all the warnings that “reading this information” make cause prejudice… so many other factors ….let’s call them “causalities” for the sake of discussion…influenced the data now made public. We had an interesting formula that we had developed in Canada to explain to governments what were the opportunity cost for them to invest in prevention programs instead of “only” treatment. That information was tainted by who was on the board and the various sets of data we used to make these cost projections. Needless to tell you that governments prefer to invest in ill-care than health care…even though we use the wrong terminology to describe our ill-care system.

    Data can further be complicated by semantic…words that may not correctly describe the “data”. For example, government like to use ‘health care’ (more positive) even though all the money is for a system for people that are “ill” not people that are healthy. Shouldn’t it be called ill-care? and money that is for prevention correctly be ‘health-care”

    Quantitative Data is tainted, political, and biased unless it comes with a full expressed disclosure on who collected the data and the ultimate purpose of that data…it should always be accompanied with qualitative data.

    We have access to data everyday but the decisions we will take is influenced by personal perceptions, economic situation, and religious / political preferences.

    Open Data is an interesting exercise but more efforts should be invested on what is the real value of that data!

    Saludos…Luc Lapointe

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