Applying Communication Theory to Real Interactions
Apply communication theory: senders encode messages, receivers decode them with different interpretations. Anticipate misunderstandings by checking meaning.
Articles published in January 2026
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.
Encryption transforms plaintext into ciphertext using algorithms and keys. Intercepted data is useless without the key. Symmetric and asymmetric types exist.
DNS resolution: Browser checks cache, queries recursive resolver like Google DNS, resolver checks cache, then queries root nameservers to find IP addresses.
APIs define software communication contracts. REST APIs use endpoints like /users and HTTP methods like GET for read and POST for create operations.
Transactions treat operations as single units—all succeed or all fail. ACID properties: Atomicity (all-or-nothing), Consistency, Isolation, Durability.
Database indexes use B-tree structures maintaining sorted pointers to rows. Like book indexes, they enable fast lookups without scanning entire tables.
Containers use Linux namespaces for isolated processes and cgroups for resource limits. Lightweight virtualization with separate filesystems and networks.
Run premortem: Imagine project failed spectacularly, everyone brainstorms why it failed, share scenarios, identify common patterns, create mitigation plans.
Map complex systems: Identify key components, draw connections showing flows and dependencies, mark causal links, find feedback loops, test predictions.
Set stage for learning, gather data on what happened, generate insights through discussion, decide actions, close with commitments and appreciation.
Assess accuracy by verifying facts and cross-checking claims. Check source credibility and expertise. Identify potential biases in presentation.
Keep simple with three to five key metrics. Make actionable so measurement drives improvement. Align with goals avoiding distortion.
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.
Measure current state. Define desired state. Create comparator showing gap between them. Design response actions closing gaps.
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.
Understand what communication really is by exploring a clear framework for how ideas move between people and why meaning often breaks down.
Understand why stories are more persuasive than facts through the psychological phenomenon of narrative transportation.
Learn how the ladder of abstraction helps you move between concrete details and abstract concepts for clearer communication.
List criteria for good decisions. Weight importance of each factor. Score options against criteria. Document rationale for future reference.
Discover why miscommunication occurs despite clear wording and what factors beyond language affect understanding.
Identify key components. Map relationships showing how parts connect. Test predictions against reality. Refine based on failures.
Learn second-order thinking—how to anticipate consequences of consequences and make better decisions by thinking beyond immediate effects.
Identify the most common decision traps that derail judgment, and learn practical strategies to recognize and avoid them.
Learn first principles thinking—breaking problems down to fundamental truths and reasoning up—with practical examples and when to use it.
Explore what makes a decision ethical, the frameworks for moral reasoning, and how to navigate ethical dilemmas systematically.
A clear, jargon-free explanation of what mental models are, how they work, and why they matter for thinking and decision making.
Understand the science of learning—how memory forms, what makes learning stick, and why most study techniques fail based on cognitive research.
Learn what deliberate practice is, how it differs from regular practice, and why it's the key to developing expert-level skills.
Learn about major cognitive biases with clear examples—from confirmation bias to anchoring—and how they systematically distort judgment.
Understand why tradeoffs are fundamental to decision making, how to identify and evaluate them, and why 'having it all' is usually impossible.
Explore Goodhart's Law—when a measure becomes a target, it ceases to be a good measure—and how to design metrics that resist gaming.
Learn how feedback loops work—reinforcing and balancing—and why they're fundamental to understanding system behavior and change.
Learn what heuristics are, why the mind uses mental shortcuts, when they work well, and when they lead to systematic errors.
Map what's rewarded with bonuses and recognition. Identify what's punished with penalties and criticism. Compare stated versus actual incentives.
Learn practical techniques for explaining complex concepts clearly to audiences with different levels of expertise.
Aristotle developed logic and syllogism. Socrates questioned assumptions. Descartes emphasized doubt. Enlightenment valued reason over authority.
Explore how to make sound decisions when you lack complete information and face uncertainty about outcomes.
Learn the specific decision frameworks and processes that high performers use to make better choices faster and with greater consistency.
Learn what causes decision fatigue, how it degrades judgment, and practical strategies to preserve decision-making energy.