Editing Availability and Representativeness (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Availability Bias' (Judging risk based on recent news):'''
<syntaxhighlight lang="python">
def estimate_risk(recent_news_mentions, actual_base_rate):
    """
    Shows how 'Availability' (News) warps our perception of 'Risk'.
    """
    # Heuristic impact: If news mentions are high, perceived risk increases
    perceived_risk = actual_base_rate * (1 + (recent_news_mentions * 2))
    
    return {
        "Actual Risk": f"{actual_base_rate * 100:.4f}%",
        "Perceived Risk": f"{perceived_risk * 100:.4f}%",
        "Error Factor": f"{perceived_risk / actual_base_rate:.1f}x higher"
    }

# Shark attacks: Very rare, but high news coverage
sharks = estimate_risk(recent_news_mentions=10, actual_base_rate=0.000001)
print(f"Shark Attack Bias: {sharks['Error Factor']}")

# Flu: Common, but low news coverage
flu = estimate_risk(recent_news_mentions=0.1, actual_base_rate=0.10)
print(f"Flu Bias: {flu['Error Factor']}")
</syntaxhighlight>

; Heuristic Landmarks
: '''Thinking, Fast and Slow''' → Daniel Kahneman's best-selling book explaining "System 1" (Fast, heuristic) vs "System 2" (Slow, logical) thinking.
: '''The 1970s Studies''' → The original experiments that proved people are "Predictably Irrational."
: '''Lottery Sales''' → A classic application of the availability heuristic; people buy tickets because they see "Vivid Winners" on TV, ignoring the "Invisible Millions" of losers.
: '''Medical Diagnosis''' → Doctors can fall into the representativeness trap by assuming a patient has a "Classic" disease while ignoring a more likely but "Non-typical" one.
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