It appears that governance security will continue to become exponentially an important topic. Without transparent governance security I do not believe that true deregulated networks will exist since they will be managed by centrist invisible levers of control. Unless governance security is recognized and implemented and actively championed, it can be theorized that a true deregulated future will not continue to manifest.
To discuss governance security we should define the importance of unique users. Unique users are users that represent a 1:1 embodiment of a unique consciousness output of creative thought energy writing onto a network. Governance security aims to maintain a network of unique users expressing the secure network ratio of a 1:1 creative thought embodiment of input. Governance security embodies the actual general consensus of unique users.
Investopedia defines “the network effect is a phenomenon whereby increased numbers of people or participants improve the value of a good or service.”
“According to the online course Economics for Managers, the term network effect refers to any situation in which the value of a product, service, or platform depends on the number of buyers, sellers, or users who leverage it. Typically, the greater the number of buyers, sellers, or users, the greater the network effect—and the greater the value created by the offering.”
Wikipedia continues to explain “network effects are typically positive, resulting in a given user deriving more value from a product as more users join the same network.”
Some examples of network effects:
Delivery: Grubhub, Uber Eats, DoorDash
Social Media: Facebook, Instagram,
Rideshare: Uber, Lyft
All of these examples are examples where unique users define the value of the network. What the definitions of network effect fail to point out but most likely assumed as a constant is the importance of unique users versus the absence of synthetic representations of unique users within a healthy network. A true network of value cannot be represented by false representations of unique users and be ultimately sustainable long term. When a network is flooded by a false representation of unique users like bots flooding a social media network, the network eventually suffers a large-scale devaluation. It can be deduced that unique users define the true value of any network and are prejudiced towards synthetic representations of unique users and the misleading consensus of interest that they may represent.
Ultimately governance security aims to preserve network value and the growth of its value while protecting against network devaluation and the constructs that help lead to it. What governance security aims to defeat are the formations of illicit poolings of entities often described and labeled as a cartel. Cartels have been seen to be a primary point of toxicity in true value network growth, see the current FTX debacle produced by their organization’s network of unique users managing their operational system. A cartel historically has been defined as “a coalition or cooperative arrangement between political parties intended to promote a mutual interest”. Within the advent of digitization the ability to form “bot” armies to represent false unique users has brought on new challenges in maintaining the secure network ratio of a 1:1 creative thought embodiment of energy input within a network.
It does not need to be argued in depth how a false portrayal of unique users and or a false general consensus within a governance model to be proven problematic and therefore a massive catalyst towards a road of devaluation. Therefore it should not need to be aggressively championed that governance security needs to be an important focus for general consensus adoption to take place. Our society is riddled by issues formed through the divisive nature of cartels.
Governance security begins with the underlying understanding of the importance in protecting the existence of the unique user within a governance model. A unique user is protected by ensuring that a unique user’s energy cannot be replicated and its efforts multiplied by a synthetic factor. A synthetic factor is the action to replicate one’s 1:1 embodiment of unique creative energy input on a network by creating a false representation of unique users often accomplished by creating “bot” armies.
On the discord forum within the governance section it was once brought up to create a governance NFT vetting mechanism. Many months later Vitalik Buterin released a paper on Soulbound tokens. Such identifier NFT’s and or Soulbound tokens will be used to identify users and their skill sets, reputations, histories and preserve the existence of verifiable unique users on networks. Through the use of non-transferable identifier NFT’s we can ensure that the governance vote is a 1:1 embodiment of expressive creativity input within the governance voting model.
At the present time many governance models are based around the principle that the most amount of staked tokens from the most unique wallets will decide ultimate general consensus. In the future it will be shown to be important to define the general consensus basis deriving from the amount of unique users formulating the general consensus vote.
Currently nothing stops a user from creating a bot wallet army which initiates a false group ultimate consensus representation within a governance vote. To remedy this problem a governance NFT token vetting process can be proposed. A NFT token vetting process is one of which a NFT is minted which encapsulates necessary information to verify that a unique user is participating within a governance vote. By staking a NFT identification governance token a user is allowed to vote within a certain voting epoch for a particular ZEIP.
Depending on particular ZEIP’s, the attainment of a NFT identification governance token may exhibit varying levels of security protocols. Future ZEIP’s will vary in importance and the skill set requirements that the ZEIP may require to cast a meaningful vote. It cannot be expected that all unique users can and should understand the context depth of every future ZEIP. Therefore meaningful votes are secured through the use of a NFT identification governance token.
A NFT identification governance token can store identifier information about unique users such as:
- ZRX amount a unique user holds
- Proficiency exam scores
- Skill sets credentials
- Personal identification information
Unanimity towards identity exposure and or the degree of anonymity that successful future governance models will allow will be exploritive with time. It does appear that the use of NFT governance identifier tokens with a certain combination of encoded information will allow degrees of anonymity to exist while preserving the necessary transparency to ensure unique user patterned activity void of cartel manipulations. This being the ultimate goal of governance security.