The Importance of Relating Online Poker to an E-currency Network and Hidden Factor of Effective Rake

poker stars exchange

The beginnings of the California and Oregon Trails were laid out by mountain men and fur traders from about 1811 to 1840 and were only passable initially on foot or by horseback.
British fur traders primarily used the Columbia River and Snake Rivers to take their supplies to their trading posts.
A rendezvous typically only lasted a few weeks and was known to be a lively, joyous place, where nearly all were allowed—free trappers, Indians, native trapper wives and children, travelers and later on, even tourists who would venture from even as far as Europe to observe the games and festivities. Trapper Jim Beckwourth describes: “Mirth, songs, dancing, shouting, trading, running, jumping, singing, racing, target-shooting, yarns, frolic, with all sorts of drinking and gambling extravagances that white men or Indians could invent.”[13] Initially from about 1825 to 1834 the fur traders used pack trains to carry their supplies in and the traded furs out.~

What is seemingly interesting about the observation that online poker networks are very relatable to currency networks is their function and relationship with respect to the actual global economy they reside in. For example, we might observe the relationship of volume of players (and further broken down to “winning” and “losing players, or rather recs vs pros) to the overall health and stability of their respective national fiat. At first it might not seem significant since a buyin for x with and expectation of y has the same expectation in “absolute” terms. However, for example, if we compare this situation to the recently diving Russian Ruple, we can see that before such a dive a poker player that consistently plays poker in USD with a 2% roi would absolutely appreciate the ability to win USD over a failing Ruple. In terms of effective rake, such a phenomenon may render the problem of understanding average winrate, over time with respect to fields, incredibly difficult to solve by any type of observational analysis.  Understanding this may prove useful for understanding pokers economy OR it might prove useful for understanding our global economy by understanding how the economy of poker functions.


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