Criticisms of the DGF project

This page collects arguments against the goals and the implementation of the DAO Governance Framework project and their responses.

The goal of the DGF project is to make a general system for building DAOs. Given the obvious historical failures of crypto projects, and especially the potential for larger, more dangerous failures in the future, we wish to make the many valid criticisms of the project paramount, in the hopes that designers will be conscious of as many pitfalls as is possible.

General Criticisms

Fundamental Criticisms

• Law of Unintended Consequences
• Chesterton's Fence

Over-financialization

Financializing every human behavior degrades the fundamental human impulse to help without expectation of reward. Under this system, everything is tied to a measured value, then accounted for and rewarded according to whatever system is currently in place, even though that system is necessarily flawed. It eliminates the possibility of selflessness, self-sacrifice, for your community.

Answer: It doesn't need to. If this tool is used to help us ignore the trivial accounting, by automating it, we can focus on higher-level concerns. Though this tool needs to be constantly sharpened--re-evaluated, improved, questioned.

Downsides of meritocracy

Meritocracy without cultivating gratitude and humility is corrosive over time. Though we want somewhat of a class structure for efficiency, we don't want the gap to be large enough for the the top and bottom to dissociate. This is built in computationally with hyper-inflationary reputation, but this must also be managed emotionally.

Downsides to transparency

• Threat to privacy
• ...

Downsides of globalism

• Threat to local community
• Inevitability of oppression
• Global-level mechanisms are existential threats

Technical Criticisms

• Blockchain tech is bad
  • Environment
    • Bitcoin's PoW uses the amount of energy of Czechoslovakia. That energy is entirely wasted, except for the minor benefit of decentralized consensus of a mostly useless currency.
  • Redundancy of decentralized systems is orders of magnitude less efficient than centralized databases, independent of PoW.
    • Slower than centralized databases
    • More expensive
    • Scalability sacrifices security
  • Centralized interfaces with blockchain are unregulated and untrustworthy (e.g., Mount Gox, FTX)
  • It's not decentralized: Almost all dApps use either Infura or Alchemy
  • Bitcoin is impractical
    • It has half of all crypto market cap, but it's not practical. After 14 years of operation it's still too volatile, too slow, and has no fraud protection. It's not useful for any merchant transaction, much less a major transaction.
• P2P tech is for criminals
  • File sharing is theft: e.g., music and movies
  • Bitcoin has only ever been practically used for money laundering, internet drug sales, and sex trafficking in the last 14 years.

DGF Criticisms

Problems with the goals

• Monopolies

If it is successful, one dApp will likely dominate the others. Competition and Economies of scale will lead to monopolies and no higher global level of regulation is strong enough to resist.

Answer: Open source design and digital architecture allows anyone to clone the whole structure within minutes. Competition will allow local versions to give alternatives. People will have the freedom to choose which platform serves their values best.

Counter answer: That ignores the first mover advantage from the network effect. The larger network is irresistible.

Counter counter-answer: Putting your energies into a smaller network that is younger and more appropriate for your talents and outcomes is exactly the first mover advantage. It's true that individuals get more power by joining a large network, but they get diminishing founder benefits when joining an older network.

SGF Criticisms

• Greater communication between scientists can lead to bad outcomes. Science needs independent validations of a theory to prevent bias. So a platform where they can communicate immediately, without careful consideration beforehand can ultimately harm science. Kevin Zollman, e.g., in discussing the social epistemology of science argues that before a scientist's colleagues' results are validated, the scientist being aware of their claims is likely to prejudice the scientist. Related is how scientific results have a statistical problem, that many measurements historical record converge to the most accurate current result from a biased direction (e.g., because the scientists are probably self-censoring themselves, and not reporting results that are too far at variance with the other results).