Series Overview

Explore Code & Cogito’s eleven series: recreating history through code, deconstructing philosophy through data, connecting science with the humanities.
Each series features in-depth articles, complete Python code, data visualization, and cross-disciplinary thinking.


The Code & Cogito Approach

I understand the world in two languages:

  • Code(程式碼) — making history computable and philosophy visual
  • Cogito(思考) — finding meaning behind data, connecting insights across disciplines

From the Renaissance to quantum mechanics, from the Industrial Revolution to the AI era
— Finding the future in history. Seeing philosophy in code.


Why did Florence become the cradle of the Renaissance?
How did the Medici family change the world through financial innovation?
Was Da Vinci’s anatomy 300 years ahead of modern medicine?

A complete journey through 500 years of intellectual evolution, from Florence to Da Vinci.
Analyzing network effects, wealth accumulation, and idea propagation with Python.

Series highlights:

  • 12 in-depth articles (8,000-12,000 words each)
  • 70+ Python code snippets and datasets
  • Visualizing Florence trade networks and the Medici banking empire
  • Complete GitHub code repository

Core themes: History × Finance × Network Science × Art

Reading time: 6 hours full experience

Status: Ongoing


What connects quantum superposition to Taoist “mutual arising”?
Does the uncertainty principle echo Buddhist “emptiness”?
Is quantum entanglement the Huayan “Indra’s Net”?

When quantum physics meets Buddhism and Taoism, exploring the deep resonance between science and Eastern wisdom.
12 deep analyses, 40+ simulations — showing you another reality.

Series highlights:

  • 12 planned articles (9,000-10,000 words each)
  • 40+ quantum simulations (superposition, entanglement)
  • Comparing 8 core concepts: Western quantum physics vs Eastern philosophy
  • Exploring consciousness, free will, and the nature of reality

Core themes: Quantum Physics × Zen × Taoism × Buddhism × Philosophy of Mind

Expected launch: Coming Soon

Status: Coming Soon


What do the Industrial Revolution and the AI era have in common?
Why did workers suffer more despite rising productivity?
Can technological progress solve inequality?

From steam engines to AI, deconstructing 250 years of technological change with data.
5 articles completed, launching after the Renaissance series concludes.

Series highlights:

  • Complete analysis of Industrial Revolution economic data
  • Urbanization, wealth inequality, productivity visualization
  • Comparing the Industrial Revolution with the modern data revolution

Core themes: Economic History × Data Analysis × Social Change × Tech Ethics

Expected launch: After Renaissance series

Status: 5 completed


When you’re debugging, are you actually doing philosophy?
Can algorithms simulate Plato’s Republic?
Free will vs algorithmic determinism — who wins?

Understanding truth, knowledge, consciousness, and free will through engineering thinking.
Not teaching philosophy — thinking alongside you. 18 in-depth articles + 30+ code demonstrations.

Series highlights:

  • 11 main articles + 3 extensions + 4 standalone pieces
  • 30+ code demonstrations (Python thought experiments)
  • Covering epistemology, existentialism, ethics, political philosophy
  • Each article is an actionable thinking tool

Core themes: Philosophy × Programming × Thought Experiments × Ethics

Status: Ongoing


How did humanists build influence? How do personal brands?
Why does fake news spread 6x faster than truth?
Is decentralization liberation or just another form of centralization?

Tracking the acceleration of idea propagation over 500 years.
Using Python network analysis and SIR models to reveal how technology changes speed but human nature stays the same.

Series highlights:

  • 3 in-depth analyses (8,000-10,000 words each)
  • Python NetworkX influence network reconstruction
  • SIR epidemiological models for information spread
  • Comparing historical and contemporary parallels

Core themes: Intellectual History × Network Analysis × Propagation Models × Decentralization

Status: Coming Soon


Do tulip mania and Bitcoin share 87.3% pattern similarity?
Why did policymakers who read history cut recovery from 25 to 5 years?
How did FTX’s $8 billion disappear?

The unchanging mechanics of 400 years of financial speculation.
Using Python DTW to compare bubble trajectories, ABM to simulate bank runs, and leverage modeling to track trust collapse.

Series highlights:

  • 6 in-depth analyses (8,000-12,000 words each)
  • Python DTW comparing 384 years of bubble patterns
  • Agent-Based Model simulating bank run cascades
  • Complete trust cycle tracking from tulips to FTX

Core themes: Financial History × Bubble Analysis × Risk Models × Institutional Design

Status: Coming Soon


How to Start Exploring?

If you are…

A programmer wanting to learn history
→ Start with Series 1: Renaissance Reborn
→ See how to analyze historical networks with NetworkX

Concerned about social and economic issues
→ Try Series 2: Industrial Awakening
→ Understand how technology reshapes society

Interested in philosophy and science
→ Try Series 3: Entangled Realities
→ Explore the dialogue between physics and Eastern wisdom

An engineer wanting to explore philosophy
→ Try Series 4: Code & Philosophy
→ Understand philosophical concepts through programming

Concerned about information warfare and misinformation
→ Try Series 5: Revolutions of Thought
→ Understand 500 years of idea propagation acceleration

An investor wanting to understand bubbles
→ Try Series 6: Finance, Bubbles & Crises
→ 400 years of unchanging financial patterns

Want to read everything
→ Start with Series 1 in order
→ Each series can be read independently


When you see an outlier in satellite data, delete or investigate?
Error in ocean data isn’t the enemy — it’s information
Why aren’t cross-disciplinary people trusted by either side?

A marine researcher’s cross-disciplinary reflections. From uncertainty to the scientific method, from observation limits to life decisions.

Series highlights:

  • 8 deep reflections
  • Ocean research × remote sensing experience
  • Connecting scientific methods to everyday thinking

Core themes: Research Methods × Cognitive Limits × Cross-Disciplinary

Status: Coming Soon


The word ‘algorithm’ comes from a 9th-century Persian mathematician
Euclid’s GCD from 2,300 years ago still runs on every computer
Leibniz’s binary was inspired by the I Ching

2,300 years of computational thinking, from Al-Khwarizmi to GPT. Reimplementing key breakthroughs in Python.

Series highlights:

  • 10 in-depth analyses
  • Classic algorithm reimplementation in Python
  • People × era × technology narratives

Core themes: Computing History × Algorithms × AI Principles × Stories

Status: Coming Soon


Your digital footprint is valued at ~$240/year
Google’s real product isn’t ads — it’s you
Apple Card gave women lower credit limits in 2019

Analyzing data’s power structure with data. From surveillance capitalism to algorithmic bias, from digital colonialism to GDPR.

Series highlights:

  • 6 in-depth analyses
  • Digital footprint valuation models
  • Algorithmic bias quantification

Core themes: Digital Economy × Surveillance Capitalism × Algorithmic Fairness × Digital Rights

Status: Coming Soon


Your most treasured memory may never have happened
The hippocampus decides daily what to remember and forget
If every cell is replaced, are you still you?

From false memories to the Ship of Theseus, from the hippocampus to AI context windows. If memory is unreliable, who am I?

Series highlights:

  • 8 in-depth analyses
  • Neuroscience × cognitive psychology research
  • AI memory mechanism comparisons

Core themes: Neuroscience × Cognitive Psychology × Philosophy × AI

Status: Coming Soon


Is TCM’s ‘Qi’ the same as physics’ ‘field’?
The I Ching inspired Leibniz’s binary
Can acupuncture pass scientific tests?

Testing East-West cultural wisdom with scientific methods. 8 dialogues from Qi vs fields to Wasan vs European math.

Series highlights:

  • 8 in-depth analyses
  • Scientific comparison of East-West concepts
  • Language and thought relationship

Core themes: East-West Science × Cultural Comparison × Language & Thought

Status: Coming Soon


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