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Amusement devices and games including means for processing electronic data where ultimate outcome of the game is dependent on relative odds of a card combination and/or where chance is a factor: expected biases such as long shot and favorite bias

  • US 7,942,734 B2
  • Filed: 02/09/2009
  • Issued: 05/17/2011
  • Est. Priority Date: 02/09/2009
  • Status: Active Grant
First Claim
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1. A method, the method comprising:

  • providing first information about a set of possible outcomes of an event to users of one or more gaming devices, wherein at least a part of the first information identifies a characteristic of a true outcome of the set of possible outcomes, wherein the true outcome comprises at least one of;

    an outcome that has actually occurred, andan outcome that will definitely occur;

    receiving second information, the second information being based on at least first wagers placed by the users, the first wagers being placed following provision of the first information, wherein at least two of the first wagers are associated with at least one possible outcome of the set of possible outcomes;

    determining, by one or more processors of one or more servers, a first set of likelihood values corresponding to the set of possible outcomes using the second information, wherein each likelihood value of the first set of likelihood values corresponds to a respective possible outcome of the set of possible outcomes, wherein the one or more servers are configured to communicate with the one or more gaming devices via a communications network;

    determining, by the one or more processors, a second set of likelihood values based at least in part on the first set of likelihood values if one or more likelihood values of the first set of likelihood values are less than a first threshold value or greater than a second threshold value, wherein the first threshold value is different from the second threshold value, and wherein the first threshold value and the second threshold value are derived from user data regarding expected biases;

    associating, by the one or more processors, the second set of likelihood values with at least two possible outcomes of the set of possible outcomes; and

    providing third information based on the second set of likelihood values to at least two users of the users.

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