In Defense of Anagorism

political economy in the non-market, non-state sector

Tag: technology

  • That which is for sale is that which is not free

    In Why buy the cow if the milk is free? at , UnboundID asks and answers:

    What would make data sharing acceptable to consumers?

    1. Being asked what you’d be willing to share
    2. Being given meaningful value for the use of the data
    3. A guarantee that the data will be kept secure
    4. The ability to update data, or revoke access to it
    5. Knowledge of who the data will be shared with

    I speak for only one consumer. What would make data sharing acceptable to this consumer?

    1. Having a client-side record of every outbound data transfer in queryable form
    2. Having packet-level access to network traffic in/out of my devices
    3. The ability to mark individual table/view columns as
      1. private, meaning not in circulation,
      2. shareable with the general public as nonproprietary data, or
      3. shareable as proprietary (monetizable) data with a list of named data partners.

    The milk metaphor is apropos. The key to monetizing your projects is being willing to milk them.milch

  • In pursuit of a nonbusiness model

    Any nonbusiness model. A single example of a noncommercial (but also nongovernmental) operating model in the context of any plausibly economic activity in any social setting. Perhaps there is not and never will be and even maybe never can be such an example; demonstrating yet again why nature abhors an anagora. Tom Slee, in Open Wide — The New Inquiry, gives us multiple examples of commons-based online communities that lost their innocence in one way or another, and in the process lost

    Image courtesy Sir josef (Creative Commons Attribution-Share Alike 3.0 Unported)
    Image courtesy Sir josef (Creative Commons Attribution-Share Alike 3.0 Unported)

    whatever authenticity, outsider appeal, alternativity, and the like that originally made these cool spaces in which to be a participant. Not wanting to pirate the article, I will give a list of the entities used as case studies:

    1. Bebo.com, now part of AOL
    2. Goodreads, now part of Amazon
    3. Mendeley, now part of Elsevier
    4. Tumblr, now part of Yahoo!
    5. Zipcar, now part of Avis
    6. IMDB, now part of Amazon
    7. Couchsurfing.com, formerly couchsurfing.org

    In about three quarters of these examples, the fact that the enrichment of the commons had become the sharecropping of the long tail became evident in the form of mergers and acquisitions. I have long wondered whether there’s something in the Iron Laws of Economics that dictates that the role of small businesses and startups is to serve as feeder fish in the world of commerce. I have also questioned whether the trend from employment employment to self employment is at all liberating, empowering, or even conducive to independence in some sense. In terms of my own options for combating nichelessness, I’ve thought of the trend from J.O.B. security to precarity as something I’m being backed into by a combination of a less labor-intensive economy, a less labor-driven polity, a disentitled generation of young adults, and other factors making “cushy” jobs harder to come by. So far, I’ve given the prevailing trend the benefit of the doubt and assumed that there are some people for whom a less risk-averse and less competition-averse culture is a better fit and a more opportune ecosystem, and that these people are in some way changing the world, but I’m beginning to question that. Startup founders describe themselves and their ventures as “disruptive,” but it’s getting hard to identify possible outcomes for such ventures other than (1) a failed business or (2) a business that is for sale. At best, it seems that cooptation is a stronger force than disruption. Is this too an Iron Law of Economics?

  • When others know you better than you know yourself, I call that power.

    CBC asks:

    How much data privacy can you expect to have?

    I’d like to see a shift to a debate which treats as the relevant question: How much information asymmetry can you expect not to have?

    Or alternatively: How much machine-readable/queryable/”mineable” data can a consumer or end-user expect to be on the receiving end of? In the case of a $ell phone, this might mean access to raw dumps of one’s own GPS logs, call logs, raw network traffic feeds up & down, etc. Analogously, raw feeds for “smart” meters from Big Utility, etc.

  • The trouble with Android

    Or as I’ve started calling it, Spamdroid. Too little sense of open source culture among Android devs. The overall tone one senses at Google Play is reminiscent of the DOS shareware community circa 1990. There is every imaginable combination of beggarware, crippleware [sic], adware, demowarez, etc., but added to all this, data mining, behavioral profiling, black hat SEO and all the newer black arts. One gets the impression that people are grasping at every imaginable straw in pursuit of “monetization.” Part of it is the Google cut on sales of paid app revenues, part is the opening of the dev market to emerging markets where people are unlikely to have the luxury of not “being in it for the money,” but mostly it is network operators absolutely insistent on assigning their retail customers a passive role in the network.