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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.

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Series 1: Renaissance Reborn

The Digital Rebirth of the Renaissance (1350-1859)

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

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Series 2: Industrial Awakening

Industrial & Data Revolution (1760-2020)

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 in-depth analyses with complete economic data and Python visualizations.

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

Reading time: 5 hours full experience

Status: Ongoing

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Series 3: Entangled Realities

Quantum Meets Eastern Philosophy (1900-2026)

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

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Series 4: Code & Philosophy

Philosophy for Programmers

Why is debugging actually a form of philosophy?
Can code help us understand free will?
Can truth, knowledge, and consciousness be dissected with engineering thinking?

When you debug, you’re actually doing philosophy. Use engineering thinking to explore truth, knowledge, consciousness, and free will —
not teaching philosophy, but thinking alongside you.

Series highlights:

• Ongoing philosophical inquiry for programmers
• 30+ code demos and thought experiments
• Classic philosophical problems through an engineering lens
• Practical “thinking tools”

Core themes: Programming × Philosophy × Epistemology × Philosophy of Mind

Articles: Ongoing

Status: Ongoing

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Series 5: Revolutions of Thought

Revolutions of Thought (1486-2024)

How did Renaissance humanism reincarnate as “personal branding” in the digital age?
Why does fake news travel 6× faster than truth?
Is decentralization real freedom — or old authority in a new mask?

In 1486 humanists built influence through letters; in 2024 personal brands explode on social media. Python network analysis and diffusion models trace 500 years of how ideas spread —
technology changes the speed, human nature never changes.

Series highlights:

• 3 deep analyses (8,000–12,000 words each)
• Python NetworkX influence networks + SIR diffusion models
• Humanism vs personal branding, print vs social media, Reformation vs decentralization
• Quantifying the Nakamoto coefficient to expose the illusion of decentralization

Core themes: Intellectual History × Network Science × Diffusion Models × Social Change

Articles: 3 (ongoing)

Status: Ongoing

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Series 6: Finance, Bubbles & Crises

Finance, Bubbles & Crises (1637-2022)

Is 384-year-old tulip mania 87% similar to Bitcoin?
Why did even Newton lose badly in a bubble?
Same crisis — why did 1929 take 25 years to recover but 2008 only 5?

In 1637 a tulip bulb cost more than a house; in 2021 Bitcoin hit $69,000. Python DTW, agent-based models and leverage modeling dissect 400 years of bubbles —
the mechanism never changes, only the speed of the crash.

Series highlights:

• 6 deep analyses (9,000–13,000 words each)
• Python DTW bubble comparison + ABM bank-run simulation
• Tulips, South Sea, 1929, Japan’s lost decades, SVB, FTX
• Including a local analysis of Taiwan’s housing crisis

Core themes: Financial History × Behavioral Economics × Time-Series Analysis × Systemic Risk

Launch: from September 2026

Status: Coming Soon

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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

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

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• Star GitHub for all Python code and datasets

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Ready to begin this cross-disciplinary knowledge adventure?