Translating Behavioral Economics into Real Decisions
Apply behavioral economics: recognize cognitive biases like anchoring and loss aversion, understand status quo bias, and design choices accounting for them.
Apply behavioral economics: recognize cognitive biases like anchoring and loss aversion, understand status quo bias, and design choices accounting for them.
Apply information theory: Entropy measures surprise and uncertainty. High entropy is informative, low is predictable. Remove redundancy, prioritize signal.
Apply network theory: weak ties connect different clusters bringing novel information. Strong ties provide reliable support and trust between close friends.
Apply decision theory: list all options, define outcomes for each, assign probabilities to outcomes, calculate expected values, then choose highest value.
Understand the curse of knowledge bias and why experts often struggle to explain concepts to beginners effectively.
Learn practical techniques for explaining complex concepts clearly to audiences with different levels of expertise.
Explore how framing effects influence interpretation and why the same information presented differently leads to different conclusions.
Learn how feedback loops work in communication systems and why they're essential for effective understanding.
Apply behavioral economics: recognize cognitive biases like anchoring and loss aversion, understand status quo bias, and design choices accounting for them.
Apply information theory: Entropy measures surprise and uncertainty. High entropy is informative, low is predictable. Remove redundancy, prioritize signal.
Apply network theory: weak ties connect different clusters bringing novel information. Strong ties provide reliable support and trust between close friends.
Apply decision theory: list all options, define outcomes for each, assign probabilities to outcomes, calculate expected values, then choose highest value.
Practical automation ideas to eliminate repetitive tasks, streamline workflows, and reclaim time for high-value knowledge work.
Focused micro-SaaS concepts serving specific niches profitably—small enough to build solo but valuable enough to sustain a business.
Build content assets that compound value over time—topics, formats, and distribution strategies for long-term traffic and authority.
Understand the core online business models—SaaS, marketplace, content, e-commerce, and services—with their economics, challenges, and success patterns.
Navigate AI's ethical challenges—from bias and fairness to job displacement, exploring responsible development and societal implications of widespread AI adoption.
Core principles for designing automation workflows: reliability, maintainability, error handling, documentation, and best practices for 2026.
Demystify large language models like GPT—exploring how they work, capabilities, limitations, and practical implications for knowledge work and society.
Understand when AI fails—exploring fundamental limitations, common failure patterns, adversarial examples, and why AI isn't magic but statistical pattern matching.
Understand career capital—the skills, credentials, relationships, and reputation that create career options and advancement opportunities over time.
Master asynchronous communication—when to use async vs sync, best practices for email and documentation, managing distributed teams, and building effective async-first culture.
Master the art of workplace feedback—delivering critical feedback constructively, receiving feedback well, feedback timing and frequency, and building a feedback culture that drives performance.
Learn root cause analysis techniques for professional problem-solving—moving past symptoms to identify and fix underlying causes that prevent problem recurrence.
Understand parasocial relationships—one-sided connections between audiences and creators, their psychology, benefits, and potential harms.
Explore how internet culture emerges—from shared norms to inside jokes, understanding the formation of online communities and digital identity.
Understand Hofstede's cultural dimensions framework—power distance, uncertainty avoidance, and other dimensions that explain cultural variation.
Understand virtue ethics—focusing on character over rules, how virtues develop through practice, and why Aristotle's framework remains relevant.
Apply decision theory: list all options, define outcomes for each, assign probabilities to outcomes, calculate expected values, then choose highest value.
Apply behavioral economics: recognize cognitive biases like anchoring and loss aversion, understand status quo bias, and design choices accounting for them.
Apply information theory: Entropy measures surprise and uncertainty. High entropy is informative, low is predictable. Remove redundancy, prioritize signal.
Apply network theory: weak ties connect different clusters bringing novel information. Strong ties provide reliable support and trust between close friends.
Make mental models actionable: Test predictions against reality, use them to guide decisions, identify blind spots, and refine through feedback loops.
Apply learning science: Spaced repetition at increasing intervals, retrieval practice testing yourself before reviewing, interleaving topics, elaboration.
Apply systems thinking: Map components and connections, identify feedback loops for growth/stability, find leverage points, test interventions, track effects.
Apply game theory: identify game type as zero-sum or positive-sum cooperation, map payoffs for each party, and find Nash equilibrium outcomes.
Apply communication theory: senders encode messages, receivers decode them with different interpretations. Anticipate misunderstandings by checking meaning.
ML training: Initialize model with random weights, forward pass makes predictions, calculate loss measuring error, backpropagation updates weights, repeat.
Search engines crawl pages by following links, index content by extracting text and metadata, then rank results using algorithms and relevance signals.
Load balancers distribute incoming requests across servers using algorithms like round robin for fairness and least connections for optimal routing.
Understand the curse of knowledge bias and why experts often struggle to explain concepts to beginners effectively.
Learn practical techniques for explaining complex concepts clearly to audiences with different levels of expertise.
Explore how framing effects influence interpretation and why the same information presented differently leads to different conclusions.
Learn how feedback loops work in communication systems and why they're essential for effective understanding.
Practical automation ideas to eliminate repetitive tasks, streamline workflows, and reclaim time for high-value knowledge work.
Focused micro-SaaS concepts serving specific niches profitably—small enough to build solo but valuable enough to sustain a business.
Build content assets that compound value over time—topics, formats, and distribution strategies for long-term traffic and authority.
Understand the core online business models—SaaS, marketplace, content, e-commerce, and services—with their economics, challenges, and success patterns.
Understand when AI fails—exploring fundamental limitations, common failure patterns, adversarial examples, and why AI isn't magic but statistical pattern matching.
Navigate AI's ethical challenges—from bias and fairness to job displacement, exploring responsible development and societal implications of widespread AI adoption.
Core principles for designing automation workflows: reliability, maintainability, error handling, documentation, and best practices for 2026.
Demystify large language models like GPT—exploring how they work, capabilities, limitations, and practical implications for knowledge work and society.
Understand career capital—the skills, credentials, relationships, and reputation that create career options and advancement opportunities over time.
Master asynchronous communication—when to use async vs sync, best practices for email and documentation, managing distributed teams, and building effective async-first culture.
Master the art of workplace feedback—delivering critical feedback constructively, receiving feedback well, feedback timing and frequency, and building a feedback culture that drives performance.
Learn root cause analysis techniques for professional problem-solving—moving past symptoms to identify and fix underlying causes that prevent problem recurrence.