The Story of WEB3 Gaming

    The intersection of Web3 Gaming and Economics gives us a unique perspective on what it means to be a citizen of the metaverse. This dashboard seeks to leverage recent economic research, which brings real-world economic measurement and concepts to Web3 Gaming. In doing so, we are increasingly likely to bridge the gap between the two worlds. Applying formal measurement also aids in studying sustainable tokenomic systems, as it allows for a long line of economic research and experience to shed light on vulnerabilities before they become a problem.

    This dashboard delineates the state of Web3 gaming for a list of projects. A distinctive feature of the dashboard is its attempt to differentiate citizens from non-citizens, outlining a path for how all Web3 games should be studied.

    For each gaming project, I strive to segregate the players' activity from non-players. This is particularly relevant for swapping behavior, as games naturally serve as emission sources for ecosystem tokens.

    An excellent introduction to the topics defined here can be found in the Star Atlas Economic Quarterly Reports. The latest report is a work of innovation in economic research that further closes the gap between digital and sovereign nations.

    See here for the latest report: https://staratlas.com/newsroom/economic-reports

    If you find the content appealing, please consider contributing tokens to support the cause: 4nzfyJXfrrMHGZwhMTaUaHVxjT66QBUR3A6FosoBP4Ka

    Note: References can be found on each game's individual tab.

    The pioneering research at Star Atlas has emphasized the importance of precision and drawing distinctions. One primary distinction is between players and non-players. Do we genuinely concern ourselves with the swapping behavior of non-players when it comes to our game's token? The key is to focus on studying the player, and even with limited data, we can establish meaningful distinctions.

    In the following analysis and charts, you will encounter various definitions used to differentiate players and non-players. Generally, our goal is to distinguish players based on their level of involvement and commitment.

    For instance, an NFT owner might speculate on the NFT price and the game's adoption and success without actively participating as a player. The same principle applies to any ecosystem asset, particularly tokens.

    Numerous statistical definitions exist that align with the economic meaning of a player. A particularly helpful set of classifications is presented below in the Star Atlas Census.

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    Now, let's consider the economic value of such a distinction.

    A pivotal metric for assessing the tokenomic sustainability of a gaming economy is the net emissions of the token. This is directly captured by the net-swapping behavior of the player base, as excess emissions typically transform into a source of income.

    On the bottom right chart, it's evident that Illuvium, generally does not have excess emissions of ILV. This is discernible through the net positive swapping behavior of residents, citizens, and staked wallets. Without this distinction, non-players (primarily liquidity providers taking the other side of the trade) would be included, making it appear that net swaps into ILV were largely neutral.

    The net number of players swapping into ILV is highly pronounced, a trend that would be challenging to discern without making the appropriate statistical distinctions (refer to the chart below).

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