Editing Confirmation Bias (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Confirmation Filter' (Simulating a social media feed):'''
<syntaxhighlight lang="python">
def simulate_feed(user_belief, new_posts):
    """
    Shows how we 'Accept' or 'Reject' info based on bias.
    """
    feed_quality = 0
    accepted_info = []
    
    for post in new_posts:
        # If the post matches the belief, we 'Like' it and believe it
        if post['slant'] == user_belief:
            accepted_info.append(post['text'])
            feed_quality += 1
        else:
            # If it contradicts, we ignore it or get angry
            pass
            
    return {
        "User Viewpoint": user_belief,
        "Information Consumed": len(accepted_info),
        "Bias Strength": f"{feed_quality} confirmations added"
    }

posts = [
    {'slant': 'A', 'text': 'Fact supporting A'},
    {'slant': 'B', 'text': 'Fact supporting B'},
    {'slant': 'A', 'text': 'Another point for A'},
]

# User who likes A sees a very different world than User B
print(simulate_feed('A', posts))
</syntaxhighlight>

; Bias Landmarks
: '''The 'Wason Selection' Task''' → A famous logic puzzle where 90% of people fail because they try to "Confirm" a rule instead of "Falsifying" it.
: '''Scientific Peer Review''' → A system designed specifically to combat confirmation bias by forcing scientists to have their work checked by rivals.
: '''Investigative Journalism''' → The practice of "Checking your own bias" before publishing a story to ensure you aren't just seeing what you want to see.
: '''The Challenger Disaster''' → A tragic example where engineers ignored "Warning Signs" of failure because they were focused on "Confirming" that the launch was safe.
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