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        <title>ldgr</title>
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            <title><![CDATA[vb theory]]></title>
            <link>https://paragraph.com/@ldgr/vb-theory</link>
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            <pubDate>Tue, 01 Nov 2022 12:11:28 GMT</pubDate>
            <description><![CDATA[Clearly, neither of those two dystopias are good places to live.  But they are not-very-nice places to live in very different ways . Dystopia A gives each resident a coin flip between unthinkably horrific mass starvation if they end up on the left half on the distribution and egalitarian harmony ...]]></description>
            <content:encoded><![CDATA[<p>Clearly, neither of those two dystopias are good places to live. <strong>But they are not-very-nice places to live in very different ways</strong>. Dystopia A gives each resident a coin flip between unthinkably horrific mass starvation if they end up on the left half on the distribution and egalitarian harmony if they end up on the right half. If you&apos;re <a target="_blank" rel="noopener noreferrer nofollow" class="dont-break-out " href="https://en.wikipedia.org/wiki/Thanos">Thanos</a>, you might actually like it! If you&apos;re not, it&apos;s worth avoiding with the strongest force. Dystopia B, on the other hand, is Brave New World-like: everyone has decently good lives (at least at the time when that snapshot of everyone&apos;s resources is taken), but at the high cost of an extremely undemocratic power structure where you&apos;d better hope you have a good overlord. If you&apos;re <a target="_blank" rel="noopener noreferrer nofollow" class="dont-break-out " href="https://en.wikipedia.org/wiki/Curtis_Yarvin">Curtis Yarvin</a>, you might actually like it! If you&apos;re not, it&apos;s very much worth avoiding too.</p>]]></content:encoded>
            <author>ldgr@newsletter.paragraph.com (ldgr)</author>
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            <title><![CDATA[Gini coefficient]]></title>
            <link>https://paragraph.com/@ldgr/gini-coefficient</link>
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            <pubDate>Tue, 01 Nov 2022 12:10:17 GMT</pubDate>
            <description><![CDATA[It's actually quite tame, I promise! So, what's wrong with it? Well, there are lots of things wrong with it, and people have  written  lots of  articles  about  various problems  with the Gini coefficient. In this article, I will focus on one specific problem that I think is under-discussed about...]]></description>
            <content:encoded><![CDATA[<p>It&apos;s actually quite tame, I promise!</p><p style="text-align: start">So, what&apos;s wrong with it? Well, there are lots of things wrong with it, and people have <a target="_blank" rel="noopener noreferrer nofollow" class="dont-break-out " href="https://www.prospectmagazine.co.uk/economics-and-finance/rebottling-the-gini-why-this-headline-measure-of-inequality-misses-everything-that-matters">written</a> lots of <a target="_blank" rel="noopener noreferrer nofollow" class="dont-break-out " href="https://www.theguardian.com/business/2019/oct/04/gini-index-is-a-poor-inequality-measure">articles</a> about <a target="_blank" rel="noopener noreferrer nofollow" class="dont-break-out " href="https://towardsdatascience.com/why-measuring-urban-inequality-with-the-gini-index-is-a-bad-idea-3d67b555dded">various problems</a> with the Gini coefficient. In this article, I will focus on one specific problem that I think is under-discussed about the Gini as a whole, but that has particular relevance to analyzing inequality in internet communities such as blockchains. <strong>The Gini coefficient combines together into a single inequality index two problems that actually look quite different: suffering due to lack of resources and concentration of power</strong>.</p><p style="text-align: start">To understand the difference between the two problems more clearly, let&apos;s look at two dystopias:</p><ul><li><p><strong>Dystopia A</strong>: half the population equally shares all the resources, everyone else has none</p></li><li><p><strong>Dystopia B</strong>: one person has half of all the resources, everyone else equally shares the remaining half</p></li></ul><p></p>]]></content:encoded>
            <author>ldgr@newsletter.paragraph.com (ldgr)</author>
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            <link>https://paragraph.com/@ldgr/undefined</link>
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            <pubDate>Tue, 01 Nov 2022 12:03:16 GMT</pubDate>
            <description><![CDATA[The  Gini coefficient  (also called the Gini index) is by far the most popular and widely known measure of inequality, typically used to measure inequality of income or wealth in some country, territory or other community. It's popular because it's easy to understand, with a mathematical definiti...]]></description>
            <content:encoded><![CDATA[<p>The <a target="_blank" rel="noopener noreferrer nofollow" class="dont-break-out " href="https://en.wikipedia.org/wiki/Gini_coefficient">Gini coefficient</a> (also called the Gini index) is by far the most popular and widely known measure of inequality, typically used to measure inequality of income or wealth in some country, territory or other community. It&apos;s popular because it&apos;s easy to understand, with a mathematical definition that can easily be visualized on a graph.</p><p style="text-align: start">However, as one might expect from any scheme that tried to reduce inequality to a single number, the Gini coefficient also has its limits. This is true even in its original context of measuring income and wealth inequality in countries, but it becomes even more true when the Gini coefficient is transplanted into other contexts (particularly: cryptocurrency). In this post I will talk about some of the limits of the Gini coefficient, and propose some alternat</p>]]></content:encoded>
            <author>ldgr@newsletter.paragraph.com (ldgr)</author>
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