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区块链不仅仅是技术 而是新的经济体系(3)

  Getting incentives right is fundamental to network growth, reflected in increased token adoption that yields positive network effects. Once this flywheel gets started, it serves as the ongoing funding mechanism for future development. Without it, the network cannot achieve self-sustainability. The value of the community and the token is what incentivizes new members to join. If that value is off, new people don’t join and a death spiral begins.

  You can see why getting those incentives just right it is so fraught with risk.

  There’s still a lot to learn

  A mastery of crypto-token economics is critical to the design of robust, sustainable blockchain economies. It involves multi-disciplinary skills, includingmechanism design, game theory, behavioral economics, public policy, macro-economics, and a decent understanding of decentralized technology. The day will come when we have Ph.Ds emerging from top universities in the field of crypto-token economics. Today, however, there are only a handful of experienced practitioners in the entire world. As Aleksandr Bulkin wrote over a year ago– “Cryptoeconomics is hard.” No joke.

  Without understanding the token economics of a project, investors, developers, and potential network contributors have no way to assess the long-term potential of a decentralized network. Along with team, technology, governance, and community, “token” forms part of the critical “T3CG Framework” I use to assess the likelihood of project success.

  As excited as I am about the potential of blockchain systems, I am humbled by the realization that we have only just scratched the surface on how to build this systems properly. Blockchains that depend a lot on humans and their propensity to behave rationally — such as Augur, Gnosis, Steem, and Numeraire, for example — will face bigger challenges than blockchains with less complex economic rules, such as Bitcoin.

  It may end up being the case that the super-hyped, human-powered blockchain systems of 2017 and 2018 are merely the case studies that future students of crypto-token economics will study to avoid flaws in system design.

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