- Chapter 1.Patterns and Connections
- Chapter 2.The Day the Internet Died
- What Actually Happened?
- Timeline
- Attack
- Defense
- Boundaries
- Security Balance
- Summary
- Chapter 3.Silicon Valley Takedown
- Conga Line
- A View to a Kill
- Picking Rocks
- Historic Game Plan
- Remembering Microsoft
- Getting Serious
- Summary
- Chapter 4.Transcontinental Railroad
- Railroading
- Nat and Mary Bowditch
- Clipper Ships
- Great Northern Railway
- Daniel Boone
- Summary
- Chapter 5.The Bigger They Come
- Modern Hiking Trails
- Checkerboarding
- Trolling the Bar Association
- Summary
- Chapter 6.The First Silicon Valley Unicorn Startup
- Six Flags
- Gold
- Boston
- Sutter
- Travel Guide
- Stretching a Point
- Number 44
- Summary
- Chapter 7.“Incipient” Battles
- Looking Forward
- What Does History Tell Us?
- Pinkerton
- Summary
- Chapter 8.The Secret in Arlington
- The Photograph
- Arlington
- Hiding in Plain Sight
- Coast Guard Unit 387
- Summary
- Chapter 9.Return With Honor
- Alternative Approach
- Pandemic
- Korea
- Code of Conduct
- Tap Code
- Disinformation and Deflection
- Vietnam Experience
- Victory Garden
- Final Checkpoint
- Concrete Implementation
- Summary
- Chapter 10.The Salem Trials
- Chapter 11.First Rate
- Sunken Treasure
- Age of Sail
- Ninth Rate
- Chapter 12.Safe Havens Then and Now
- St. Paul’s Layover Agreement
- The Bot Concession
- Twitter Takes a Look
- Impact
- Summary
- Chapter 13.Top Secret Ultra
- Ultra
- Lorenz Machine
- Colossus
- D-Day
- Declassification and Recognition
- Colossus Rebuild Project
- See Saw
- Glider Factory
- ATLAS
- NSA Acknowledgement
- Summary
Unexpected Histories: Demonstrating that Humans are Still Better at Pattern Recognition
Book One of "Unexpected Histories"
What if you could learn to spot patterns earlier, before the data are clear, before the story is obvious, before others see what's coming?
Unexpected Histories: Demonstrating that Humans are Still Better at Pattern Recognition reveals how real people did exactly that across witch trials, antitrust battles, gangland safe havens, naval warfare, codebreaking, and the secret birth of computing.
These stories teach practical lessons in intuition, clear thinking, and detecting signal in noise, skills more valuable now than ever.
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About
About the Book
Understand the world by seeing what others miss.
Unexpected Histories: Demonstrating that Humans are Still Better at Pattern Recognition is for readers who want to understand the world by seeing what others miss. Through vivid stories spanning antitrust battles, witch trials, Prohibition‑era corruption, naval warfare, codebreaking, and the secret birth of computing, you learn how real people recognized patterns hidden in noise, connected seemingly unrelated events, and acted on insight long before data or machines could.
This book helps you:
- Spot patterns earlier in business, technology, politics, and everyday life
- Understand power dynamics in modern institutions by seeing their historical roots
- Recognize disinformation by studying how it succeeded in past eras
- Think more clearly under uncertainty, using examples from history’s messiest moments
- Sharpen intuition, the one cognitive skill algorithms still struggle to replicate
Book One opens a series designed to strengthen your ability to detect signals others overlook, and to navigate a world shaped by hidden forces.
Author
About the Author
Edward W. Barnard
Edward W. Barnard brings unique implementation expertise from programming Cray supercomputers at the hardware level, debugging systems at classified facilities, and solving critical Y2K infrastructure problems. His 20+ years at Cray Research included hands-on work with assembly language, operating systems, and I/O subsystems. He has published over 100 technical articles, helping developers implement solutions to complex problems. His cross-domain experience, from NSA troubleshooting to Saudi Aramco installations, provides practical insights into applying advanced problem-solving techniques across diverse technical environments.
Edward has transferred his skill of bare-metal programming the Cray I/O Subsystem (with only 131,072 bytes of local memory) to novel ways of managing Large Language Model token context windows, unlocking capabilities not yet taught in AI literature. When a skill dormant for 35 years becomes suddenly relevant again, he calls this The Time Travel Pattern.
Episode 317
An Interview with Edward W. Barnard
Contents
Table of Contents
Get the free sample chapters
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