# Gambler’s Fallacy

**Details:**

The tendency to think that future probabilities are altered by past events, when in reality they are unchanged. The fallacy arises from an erroneous conceptualization of the law of large numbers. For example, “I’ve flipped heads with this coin five times consecutively, so the chance of tails coming out on the sixth flip is much greater than heads.”

**Datasets:**

(Datasets labeled with this bias will go here.)

**Structural Analysis:**

(Results of dataset analysis for patterns in structure, placement, tone, context, coreference, correlatives, and so on will go here.)

**Proposed Algorithms:**

(Proposed combinations of factors from the above analyses in algorithmic form for automated detection will go here.)

**Positive Detection:**

(Algorithms for bias-positive detection will go here.)

**False-positive Detection:**

(Algorithms for false-positive detection/filtering of the above bias-positive algorithms will go here.)

**Certainty Mapping:**

(Algorithms for the probability mapping between N mathematical dimensions for positive and false-positive algorithms will go here.)

**Successful Algorithms:**

(Tested successful algorithms will go here, along with their respective accuracy metrics and error data for further refinement.)

*References:*

*References:*