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Bayes' Theorem & The Implications Of Compound Probability, Understanding + Design
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In this lecture explore how a probability formula from an 18th century Mathematician parallels the graphic design process. Throughout I touch on concepts of objectivity, subjectivity, and how to negotiate the designer-client relationship in terms of revisions and dealing with feedback.
Whole lecture with notes/outline:
Key Takeaways
• ASK QUESTIONS: Get as much information as possible before starting.
• ROLL WITH THE PUNCHES: Try not to think of revision as being ‘wrong’, but rather as helping clarify future ‘right’
• VALUE THE PAST: All prior interactions influence current ones.
• THE DONUT HOLE: When you define something, you inherently define its opposite. BOTH are important.
Links and references for additional research:
Wikipedia - Bayes Theorem:
Veritasium - The Bayesian Trap:
Why The Majority Is Always Wrong - Paul Rulkens:
Overcoming Blank Page Syndrome:
Whole lecture with notes/outline:
Key Takeaways
• ASK QUESTIONS: Get as much information as possible before starting.
• ROLL WITH THE PUNCHES: Try not to think of revision as being ‘wrong’, but rather as helping clarify future ‘right’
• VALUE THE PAST: All prior interactions influence current ones.
• THE DONUT HOLE: When you define something, you inherently define its opposite. BOTH are important.
Links and references for additional research:
Wikipedia - Bayes Theorem:
Veritasium - The Bayesian Trap:
Why The Majority Is Always Wrong - Paul Rulkens:
Overcoming Blank Page Syndrome:
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