Proven Bingo Strategies

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Proven Bingo Strategies: Granville Theory

Bingo is a game of luck and chance. But, with some intelligent thinking, still one could sway the odds in his/her favor. The present article discuss about a bingo strategy propounded by the famous mathematician named Joseph E. Granville, who is also credited with the successful development of a series of practical strategies for stock market analysis.

Granville, after extensive analysis of bingo game patterns, has reached the conclusion that every bingo game follows predictable patterns provided one study it closely. He showed that by extracting vital relationships between bingo numbers that wins and the master board, it is possible to churn out a strategy for card selection that eventually lands the player in a better position for winning the game than any random method. Granville has further showed that even in games where a player can’t select cards, still he/she could find ways to win the game by playing fewer cards in many times, contrary to the popular belief that playing several cards in a game improves one’s winning chances. According to him, winning bingo is entirely based on one’s understanding of the concept ‘random’.

That is, as per Granville, while playing, none really notices the fact that there exists a preponderance that exists in the first 10 numbers called in a bingo game. Since, on an average, it takes about 10 to 12 calls before a game finishes and a winner is declared, doing so actually gives one an idea about the numbers that’ll be called in the succeeding games and hence more chances for picking cards that has more probability of winning.

For example, according to probability laws (called uniform distribution), there is a possibility that there’ll be the same quantity of numbers ending in 1’s, 2’s, 3’s, 4’s etc. For instance, if the first call is the number N-31, then in the subsequent calls, the probability of a second number ending in ‘1’ is less owing to the fact that there are now more balls left ending in other digits than 1. Now, over several calls, the number of times each number is called will even out and the above said possibility will hold itself to be true.

In other words, if in the first game, the game was won by a card with numbers ending in 3’s and 1’s, then in the next game, the chances for the repetition of the same pattern are slim. If in the second game, if the game is won by a card featuring numbers ending in 5’s and 9’s, then the possibility of the third game being won by cards featuring the same numbers are less. So, it can be deduced that, in the successive games, selecting cards with numbers other than 1’s, 3’s, 5’s and 9’s stand more chance of winning.

The real time game scenario may include a bit more complex math, and may require players to keep record of numbers promptly for reference. But, if given due diligence, it is not impossible to make predictions based on the above mentioned concepts.