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Overview
  • How are reviewers describing this item?
    many, written, great, mathematical and found.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 80% high quality reviews are present.
  • This product had a total of 83 reviews as of our last analysis date on Feb 29 2020.
Details

BETA

Most positive reviewquestion

Great price and quick delivery.

Least positive reviewquestion

Not enough review data to provide meaningful insight.

Most authentic reviewquestion

I bought this book after listening to an article on BBC Radio 4. The book talks about betting of course but looks at the role m...  Read More

Least authentic reviewquestion

Not enough review data to provide meaningful insight.


Helpful Insights

BETA

    Posted by a reviewer on Amazon

    Kucharski does an excellent job of explaining how people have found these strategies, using probability data to identify deviations from randomness (e.


    Posted by a reviewer on Amazon

    A poorly crafted roulette wheel) and inaccurate odds that can be played for financial gain.


    Posted by a reviewer on Amazon

    The author details many schemes dating back over 100 years.


    Posted by a reviewer on Amazon

    Mathematician and statistical genius karl pearson was studying roulette wheel randomness and determined that the spin data was suspicious, because there were not enough “runs” of a color (e.


    Posted by a reviewer on Amazon

    There are many more stories of systems and the people who discovered them.


    Posted by a reviewer on Amazon

    Then, if you do find a system for winning, the casinos (or other venues) will lawfully ban you from gambling, as edward thorp, the “father of card counting” in the early 1960s, was banned from las vegas blackjack tables, and resorted to wearing disguises to sneak in.


    Posted by a reviewer on Amazon

    One of the aspects of machine learning .


    Posted by a reviewer on Amazon

    The downside of being wide-ranging (and comparatively short — 240 pages of large-ish print)is limited depth of content, and perhaps no clear take-away messages.

Review Count History
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