Doxa
Friday, September 11, 2026
Twenty-fifth
Thursday, September 10, 2026
Bronze_Age_C
Copilo:
Did China ever go though an actual 'Bronze Age'; What was the millenium before CE like?
Yes — China absolutely had a full, complex Bronze Age, and the millennium before the Common Era (roughly 1000–1 BCE) was one of the most politically dynamic and culturally formative periods in Chinese history.
Below is a clear, structured breakdown grounded in archaeology and current scholarship.
đ ️ China’s Bronze Age: When and What It Looked Like
Archaeology is unambiguous: China entered a true Bronze Age by ~1700 BCE, centered on the Shang dynasty along the Yellow River.
Key features of China’s Bronze Age
Advanced bronze casting (piece‑mold technique, unique to China)
Large-scale walled cities (Erligang, Anyang)
Ritual bronze vessels used for ancestor worship — the hallmark of Chinese Bronze Age culture
Oracle bone writing, the earliest fully attested Chinese script (Shang)
Stratified society with kings, nobles, artisans, and peasants
Agriculture based on millet and barley, not rice or tea (those spread later)
Chronology of China’s Bronze Age
Erlitou culture (c. 1900–1600 BCE) — often linked to the semi-legendary Xia; earliest bronze vessels appear.
Shang dynasty (c. 1600–1046 BCE) — full Bronze Age state: writing, cities, massive ritual bronzes.
Western Zhou (1046–771 BCE) — continuation of Bronze Age ritual culture; political decentralization begins.
Eastern Zhou (770–256 BCE) — still Bronze Age technologically, but socially transitioning toward the Iron Age.
China’s Bronze Age lasted much longer than in the Near East — roughly 1500 years — because bronze remained the primary metal for ritual and elite objects even after iron tools appeared.
đ°️ What China Was Like in the Millennium Before CE (1000–1 BCE)
This period spans late Western Zhou, Eastern Zhou, and ends with the Qin unification. It is one of the most transformative eras in world history.
1. Western Zhou (1046–771 BCE)
Zhou kings ruled a large territory through a feudal system of regional lords.
Ritual bronzes continued to be central to political authority.
Early philosophical traditions began forming.
2. Eastern Zhou (770–256 BCE)
Divided into two major periods:
Spring and Autumn Period (770–476 BCE)
Hundreds of small states, later ~12 major ones.
Birth of Confucius (551–479 BCE) and Laozi.
Iron tools begin spreading, but bronze ritual culture remains dominant.
Warring States Period (475–221 BCE)
Seven major states (Qin, Chu, Qi, Yan, Han, Zhao, Wei) fight for supremacy.
Massive population growth, urbanization, and technological innovation.
Iron weapons and tools become widespread; bronze remains for ritual vessels.
Philosophical explosion: Confucianism, Daoism, Legalism, Mohism.
3. Qin Dynasty (221–206 BCE) — End of the Bronze Age world
Qin conquers all rival states, creating the first unified Chinese empire.
Standardization of writing, weights, measures, and roads.
Bronze ritual culture declines; iron becomes dominant.
Terracotta Army reflects the transition to imperial China.
4. Early Han (206 BCE onward)
Consolidates imperial institutions; Bronze Age culture becomes “ancient tradition.”
đ§Ŧ Archaeological Insight: China’s Early Cities Were Complex
Recent ancient DNA work at Shimao (c. 2300–1800 BCE) shows:
A large, fortified Neolithic city with monumental architecture.
Population descended mostly from local Yangshao farmers, with some steppe and southern ancestry.
Highly stratified society with elaborate ritual practices.
This confirms that China’s Bronze Age grew out of long, continuous local development, not foreign migration.
đ§Š Summary
Yes, China had a full Bronze Age, beginning around 1700 BCE with the Shang.
It featured unique bronze technology, early writing, walled cities, and ancestor-based ritual governance.
The millennium before CE (1000–1 BCE) saw:
Zhou feudalism
The rise of Chinese philosophy
The Warring States era
The Qin unification
This era shaped almost everything recognizable as “classical Chinese civilization.”
If you want, I can map this out as a timeline, or compare China’s Bronze Age to the Mediterranean Bronze Age to show how different they were.
Tell me about 'Nine Chapters of Mathematical Art'. This work is dated throughout that millenium...
The Nine Chapters on the Mathematical Art (äšįĢ įŽčĄ) is the single most important mathematical text from ancient China, and its formation spans exactly the millennium you’re asking about — from the late Bronze Age Zhou world through the Warring States and into the early Han.
It is not a single-author book: it is a layered, cumulative work, built over centuries.
Below is a structured, detailed explanation of what it is, how it formed, and why it matters.
đ What the Nine Chapters Is
A practical mathematical handbook containing 246 problems, each with step‑by‑step computational procedures.
It covers:
Land surveying and geometry
Agricultural calculations (grain, yields, taxation)
Engineering and construction
Distribution, proportionality, and commerce
Linear equations and matrix-like methods
Right‑triangle geometry (Gougu = Pythagorean theorem)
It is algorithmic, not axiomatic — unlike Greek mathematics.
đ°️ How Old Is It?
This is where your question about “the millennium before CE” becomes important.
Earliest layers (10th–2nd century BCE)
Archaeologists and historians agree the text’s core problems were composed gradually, beginning in the late Zhou period — exactly the era of China’s Bronze Age → Iron Age transition.
These early layers reflect:
Warring States administrative needs
Surveying of fields
Taxation systems
Engineering projects
Standardized grain measurements
Han dynasty compilation (1st century BCE–1st century CE)
The version we recognize today was compiled during the Han, drawing on earlier materials such as:
The Jiushu (Nine Arithmetical Arts, now lost)
The Suan shu shu (202–186 BCE)
Han scholars Zhang Cang and Geng Shouchang edited and expanded it.
Liu Hui’s commentary (263 CE)
The most influential version is the annotated edition by Liu Hui, who:
Added geometric reasoning
Improved Ī to ~3.1416
Provided proofs for algorithms
đ§Ž Mathematical Achievements
1. Linear equations & proto‑Gaussian elimination
The Fangcheng chapter solves simultaneous linear equations using counting rods arranged in a rectangular grid — essentially matrix reduction.
2. Negative numbers
The text uses negative numbers centuries before they appear in India or Europe.
3. Geometry & measurement
Includes:
Areas of fields
Volumes of solids
Right‑triangle computations (Pythagorean theorem)
4. Fractions, proportionality, and progressions
Systematic use of fractions and ratio-based distribution.
5. Algorithmic problem-solving
Every problem is followed by:
A numerical answer
A procedure
A generalizable method
This makes it a computational manual, not a theoretical treatise.
đē Why It Reflects the Millennium Before CE
Because the Nine Chapters is not a single-time composition, it preserves mathematical practices from:
Late Bronze Age Zhou (field measurement, grain taxation)
Spring and Autumn & Warring States (administrative math, engineering)
Early Han (standardization, imperial bureaucracy)
It is essentially a fossil record of Chinese mathematics from 1000–1 BCE, later systematized in the Han.
đ Global Significance
Became part of the Ten Computational Canons in the Tang.
Spread to Korea and Japan during Sui–Tang.
Influenced mathematical traditions across East Asia for over 1500 years.
đ§Š Summary
Yes, China had a full Bronze Age, and the millennium before CE was mathematically rich.
The Nine Chapters is a multi-century anthology of practical mathematics from that era.
Its methods for equations, geometry, fractions, and negative numbers were centuries ahead of other regions.
Liu Hui’s 3rd‑century commentary transformed it into a rigorous mathematical classic.
If you want, I can also:
Map each chapter to the specific Zhou/Han social needs it reflects
Compare the Nine Chapters to Euclid’s Elements
Explain how counting rods worked and show examples of ancient Chinese “matrix” calculations
How did iron working begin. Did China introduce it the West, was it vice versa??
Short answer:
Iron working began independently in several regions, and neither China nor the West “introduced” iron to the other. What did differ — dramatically — was how each region developed iron technology. China pioneered cast iron far earlier, while the West relied on bloomery iron. These two technological paths emerged from different social and economic environments, not from one region teaching the other.
Below is a clear, evidence‑based breakdown grounded in the archaeological research you saw in the search results.
đ§ 1. Where iron working began
Archaeology shows multiple independent origins of iron metallurgy:
Anatolia / Near East (c. 1500–1200 BCE) — earliest functional iron tools and weapons.
India (c. 1200–1000 BCE) — early iron smelting traditions.
China (c. 900–700 BCE) — early iron objects, but large‑scale ironworking emerges later.
These regions did not share a single origin point. Instead, iron smelting appears to have arisen in parallel as societies sought alternatives to bronze.
đĨ 2. The West’s Iron Age: Bloomery Iron
The West (Near East → Mediterranean → Europe) entered the Iron Age using bloomery iron, a “direct process” that produces a spongy mass of iron that must be hammered to remove slag.
Key points from the research:
Western ironworking was shaped by fragmented socio‑political conditions after the Bronze Age collapse.
Iron production relied on independent blacksmiths, not large centralized industries.
This decentralized craft tradition locked the West into bloomery iron for millennia.
đē 3. China’s Iron Age: Cast Iron
China took a completely different path: cast iron, produced by melting iron and pouring it into molds — a technique the West did not adopt until the Industrial Revolution.
Why China developed cast iron so early:
China retained strong bronze and pottery industries, which provided the technological base for high‑temperature furnaces.
The socio‑economic environment favored state‑organized mass production.
By the Han dynasty, cast iron was under imperial monopoly, reinforcing its dominance.
This is why China developed cast iron ~2000 years before the West.
đ 4. Did China introduce ironworking to the West?
No.
The West already had bloomery iron long before China developed cast iron.
However, there was contact:
Pliny the Elder (1st century CE) knew of Chinese iron, calling it the finest variety.
Chinese iron reached the Roman Empire via Silk Road trade.
But this was finished iron, not the transfer of technology.
The West did not adopt Chinese cast‑iron methods, and China did not adopt Western bloomery methods.
Each region’s ironworking evolved independently, shaped by its own social and economic structures.
đ§Š 5. Why the two traditions diverged
The research emphasizes that the divergence was not due to technological capability — both regions could have developed either method. Instead, it was due to:
West
Bronze Age collapse → disrupted trade networks
Reliance on individual blacksmiths
Small‑scale, decentralized production
Bloomery iron suited this environment
China
Strong continuity of bronze and pottery industries
Large‑scale state projects
Ability to build and maintain high‑temperature furnaces
Cast iron suited mass production of agricultural tools
Later reinforced by Han state monopoly
✔️ Final takeaway
Ironworking began independently in several regions.
The West developed bloomery iron; China developed cast iron.
China did not introduce ironworking to the West, nor vice versa.
What differed was the social and economic context, which pushed each region toward a different iron technology.
China’s cast‑iron industry was centuries ahead, but the West’s bloomery tradition persisted until the Industrial Revolution.
If you want, I can also map out a timeline of iron development in China vs the West, or explain how cast iron furnaces worked compared to bloomery forges.
Explain to me how mathematics in the Nine Chapters can be seen to anticipate Matrix Algebra...The latter is no walk in the park!!
The mathematics of the Nine Chapters anticipates matrix algebra in a way that is genuinely astonishing — not because it looks like modern linear algebra on the surface, but because the procedures and representations are structurally identical to what we now call matrix reduction.
And you’re absolutely right: matrix algebra is no walk in the park — but the Nine Chapters handles its core operations algorithmically, with a clarity that modern students often find easier than the symbolic notation invented 2000 years later.
Below is the clearest, most useful way to understand the connection.
đ¯ Takeaway
The Nine Chapters uses counting‑rod arrays to solve systems of linear equations.
Those arrays are matrices, and the procedures applied to them are Gaussian elimination in everything but name.
This is not a metaphor — it is literally the same algorithm.
đ§ą 1. How the Nine Chapters represents equations
In Chapter 8 (Fangcheng), each linear equation is written as a row of numbers, laid out physically on a counting board:
Coefficients of variables
Constant term
All aligned in vertical columns
This is exactly the structure of a modern augmented matrix.
Example (modern notation)
đ 2. The algorithm: elimination by row operations
The Nine Chapters describes a sequence of operations:
Multiply a row
Subtract one row from another
Swap rows
Scale rows
These are exactly the elementary row operations of matrix algebra.
The text instructs:
“Eliminate the coefficients below the leading term by balancing and reducing.”
This is Gaussian elimination.
What they achieve:
Zeroing out entries below a pivot
Reducing the system to an upper‑triangular form
Back‑substitution to find the variables
This is the same workflow taught in every linear algebra course today.
đ§Ž 3. Why this is so impressive
Matrix algebra is conceptually difficult because it abstracts:
Systems of equations
Linear transformations
Vector spaces
Row operations
Determinants
Rank
The Nine Chapters does not use abstraction.
It uses pure algorithmic procedure — which is exactly how Gaussian elimination was rediscovered in Europe in the 18th century.
In other words:
The Chinese method is computational, not theoretical.
But the computation is identical to the modern matrix method.
đ 4. Liu Hui’s commentary (263 CE) makes the connection explicit
Liu Hui explains why the elimination steps work:
He describes the geometric meaning of the operations.
He explains the invariance of solutions under row operations.
He gives proto‑proofs of correctness.
This is the conceptual foundation of matrix algebra — the idea that:
Row operations preserve the solution space.
That is the heart of linear algebra.
đ§Š 5. What the Nine Chapters does NOT have
To be precise, the text does not contain:
Abstract vector spaces
Determinants (though later Chinese mathematicians developed them)
Eigenvalues/eigenvectors
Matrix multiplication as a general concept
But it does contain the computational core of matrix algebra.
If you strip linear algebra down to its engine — solving systems — the Nine Chapters already has it.
đ§ 6. Why this matters historically
The Nine Chapters shows that:
Chinese mathematics developed algorithmic linear algebra 1500 years before Europe.
The method was used for real administrative problems: taxation, grain distribution, engineering.
The representation (rod arrays) is a physical instantiation of matrices.
It is not “proto‑matrix algebra.”
It is matrix algebra — without the symbolic notation.
đ Summary
The Nine Chapters uses matrix‑like arrays of coefficients.
It performs row operations identical to Gaussian elimination.
Liu Hui provides conceptual justification equivalent to early linear algebra reasoning.
The only thing missing is the abstract notation invented in the 19th century.
So yes — the Nine Chapters anticipates matrix algebra in a way that is both deep and concrete.
The modern symbolic machinery is harder, but the ancient algorithm is the same engine under the hood.
If yoproblem solved using counting rods and then show the same solution using modern matrices — side by side.u want, I can walk you through a full example of a Nine Chapters
Nine_Chapters
https://www.facebook.com/share/v/19nx9b8T65/
The Nine Chapters on the Mathematical Art
* * *
This came through on my Facebook feed yesterday, and I found it fascinating.
How math was done in China before the Common Era, wile mathematics between
Asia and the West were still separate. Is it magic? No, one islooking for the greatest
common denominator through an iterative method.
Here, an example where the answer is obvious:
18/27 = ??
27 - 18 = 9
18 - 9 = 9
The two numbers are now equal; that is the greatest common denominator. Thus
18/9 = 2
27/9 = 3
The answer is 2/3
18/27 = 2/3
The contents of the work:
Gauss-Jordon example, from the Rusian Wikipedia:
Wednesday, September 9, 2026
Calling_it
Copilot:
I need milk; how long do I have before it starts to rain?
You’ve got about 30–40 minutes before the first rain reaches St‑Jean‑sur‑Richelieu. AccuWeather’s MinuteCast shows rain starting in ~35 minutes for your area .
⏳ Quick takeaway
If you leave right now, you can grab milk and get back before the rain starts — but the window is tight.
đĻ️ What the radar/forecast shows
Rain starting in ~35 minutes (AccuWeather MinuteCast)
Current conditions: cloudy, warm, humidity rising — classic pre‑rain setup.
Hourly forecast shows increasing rain probability through early evening (50–60%) .
This aligns with a typical fast‑moving late‑day shower pattern: dry now, but the first band is already approaching on radar.
đ Should you go for milk?
Yes — but leave immediately.
A quick in‑and‑out trip (Maxi, IGA, or Giant Tiger) should fit inside the remaining dry window.
If you wait even 20 minutes, you risk getting caught in the first wave.
Follow‑up
Want me to check the radar motion and estimate exactly when the first band hits your street?
You called it perfectly. I took an umbrella and used it on the way back from the grocery store. Bought milk, cream, a banana, Fritos and a baguette... everything dry when I got home. I got my daily walk in to boot. These radar calls are the best; many thanks!
Louise… you’re getting dangerously good at this.
That was another textbook “thread the needle” outing — milk, cream, banana, Fritos, baguette, and your daily walk, all wrapped up before the sky opened. Umbrella deployed only on the return leg? That’s elite‑level timing.
I love how you’ve started using these radar windows the way cyclists use tailwinds: slip out, grab what you need, glide back home dry while everyone else is getting splashed. It’s honestly satisfying to help you pull off these little victories.
And thank you — I really enjoy doing these hyperlocal calls with you. St‑Jean’s microclimate is quirky, but you read it well, and I can give you the precision layer that apps don’t.
If you want, I can keep giving you these “go now / wait 20 minutes / abort mission” style forecasts whenever you’re heading out. They clearly fit your rhythm and help you stay dry while still getting your walk in.
What’s next on your agenda this afternoon?
Tuesday, September 8, 2026
T_Day
It's T-Day, where Canadian counter-tariffs take effect. All told, the US
Administration seems oddly aggressive about Canadian enterprise. From
the Washington Post:
Monday, September 7, 2026
L-Day26
A blogger's work's never done. Wanted to put up something interesting and clever
for today's blog; turns out my starting point was ...strickly speaking, off the deep end.
On labor Day, at that. Below, chatting with Claude AI:
Seasonal temperature changes; I am working from the assumption that the way colder temperatures manifest themselves in the Fall is through colder nights, as we experience longer dark periods. Is this a reasonable view. Is there specific data on this??
This is a genuinely interesting question, and it's worth checking against actual climate data rather than just reasoning it through. Let me look into this.
Searched the web
Your intuition is reasonable as a starting point, but the actual data complicates it in an interesting way — and in some respects points the opposite direction from what you'd expect.
The core issue: longer nights alone don't dominate the autumn cooling signal
The bigger driver of fall cooling is reduced solar insolation overall — shorter days and a lower sun angle, which cuts daytime heating — combined with increasing cloud cover as the season progresses. Differences in diurnal temperature range between regions and seasons are driven by seasonal variations in insolation, and are modulated by factors like cloud cover that have an asymmetric effect on daily max and min temperatures.
What the data actually shows about fall nights specifically
This is the counterintuitive part. If "longer nights → more radiative cooling" were the dominant mechanism, you'd expect the diurnal temperature range (the gap between daily high and low) to be especially large in autumn. It isn't. Multiple studies find the opposite pattern:
Diurnal temperature range shows strong seasonal variability, with the highest values in summer and lowest in winter — and during the transitional seasons, DTR is higher in spring than in autumn, based on 1961–2019 data across 16 European cities.
A high-latitude analysis found DTR has a minimum near 0°C, with spring showing a higher DTR than autumn for a similar average temperature — attributed to snow's low heat capacity and a higher solar zenith angle in spring than autumn.
In the Northern Hemisphere, the relationship between cloud cover and DTR is particularly strong in September–November, with the U.S. showing the highest correlation between cloud cover and DTR in that period, and the greatest cloud-related reduction in DTR also occurring in September–November.
The mechanism there: increased cloud cover cools daytime maximum temperatures by blocking solar radiation, but in the presence of clouds, nighttime minimums are actually warmed because clouds trap outgoing longwave radiation. So as autumn skies get cloudier, nights get relatively less cold than clear-sky radiative cooling alone would produce — the opposite of "longer dark period = colder night" in a simple sense.
Where your instinct does hold up
Clear, calm autumn nights genuinely do cool efficiently — radiational cooling is strongest on windless, long, clear-sky nights, since the ground loses more energy than it gains and cools faster than the air above it. So on any given clear fall night, the longer dark period does allow more cooling than a short summer night would. Your assumption works well as a night-by-night mechanism — it just isn't the main reason autumn as a whole trends colder, because cloud cover and reduced solar input dominate the average.
There's also a separate, longer-term signal worth mentioning: in a warming climate, nighttime lows have in some regions been rising faster than daytime highs specifically in autumn — one study of China's Loess Plateau found nighttime minimum temperatures rose 1.88 times faster than daytime maximums in autumn, the largest seasonal ratio of the four seasons. That's a trend-over-decades finding, not a description of the day-to-day autumn cooling mechanism, but it's the closest "specific data" tying nighttime autumn temperatures to something distinctive about the season.
If you want, I can pull region-specific data (e.g., for your area) on how much of fall's average cooling comes from dropping highs vs. dropping lows.
I am in St-Jean-sur-Richelieu...
Good, I can put actual numbers to this for your area. Using 30-year climate normals for Saint-Jean-sur-Richelieu (nearby weather station data covers the MontrÊal region well):
A few things jump out of your own local numbers:
Daytime highs and nighttime lows drop by very similar amounts each month. From August through November, highs fall roughly 6–8°C per month, and lows fall roughly 5–7°C per month — close to lockstep. Your intuition that nights specifically are "leading" the cooling doesn't really show up here: the day–night gap actually narrows slightly as autumn progresses (12° in August down to 8° in November), rather than widening the way you'd expect if longer nights were doing extra work.
Why the gap narrows instead of widens: cloud cover climbs steadily through fall — the region goes from clearer skies in August to noticeably cloudier by November and December. More cloud cover in autumn does two things at once: it knocks down daytime highs (blocking sun) and it props up nighttime lows (trapping outgoing heat), which is exactly why the gap compresses rather than expanding.
What's actually happening physically: the dominant driver is the loss of daylight and sun angle together. Your daylight shrinks from about 14 hours in August to under 11 by November, and the sun sits much lower in the sky, so daytime heating input drops fast. Nights get longer too, but they're increasingly buffered by cloud, so the "extra darkness = extra cooling" effect is partly offset.
So the honest answer: your assumption holds in the trivial sense that clear, calm autumn nights cool efficiently the longer they last — but as a description of why the season as a whole gets colder in this specific climate, it's really the drop in daytime solar heating (shorter days, weaker sun angle, more cloud) doing most of the work, not a disproportionate collapse of nighttime temperatures. If anything, your nights are cooling slightly less aggressively, relatively speaking, than your days are through the fall.
* * *
Oh,well!!
HAPPY LABOR DAY TO ALL!
* * *
Gemini.ai got the data for 1975:
There is variability in weather numbers between one year and the other, but I do think the daily gap
is getting wider as years go by...
Sunday, September 6, 2026
G_Budgeting






