Model Perspective
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Model Perspective

Insights, knowledge, and enjoyment from a mathematical modeling researcher and educator. Hosted by Haihua Wang, a modeling instructor and author of "Clever Use of Chat for Mathematical Modeling", "Modeling: The Mathematics of Thinking", "Mathematical Modeling Practice: A Hands‑On Guide to Competitions", and co‑author of "Mathematical Modeling: Teaching Design and Cases".

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Latest from Model Perspective

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Model Perspective
Model Perspective
Aug 14, 2026 · Industry Insights

Why Did Pang Donglai Shut Its Billion‑Yuan Store? Who’s Affected and What’s the Impact?

The article analyzes Pang Donglai's decision to close a 24‑year‑old shopping plaza that generated about ¥20 billion in sales and over ¥1 billion profit, exploring the rent issues, brand‑driven traffic, the varying impact on nearby merchants, landlords and the broader commercial landscape of Xuchang.

Commercial Real EstateConsumer FlowLease Negotiation
0 likes · 11 min read
Why Did Pang Donglai Shut Its Billion‑Yuan Store? Who’s Affected and What’s the Impact?
Model Perspective
Model Perspective
Aug 13, 2026 · Industry Insights

Can Getting Marriage Licenses at Banks Boost Marriage Rates? A Critical Look

The article examines Tianjin's new practice of placing marriage registration desks inside banks, arguing that while it reduces administrative friction, the deeper financial and life‑stage concerns of young adults—housing costs, income stability, and long‑term risks—remain the decisive factors in marriage decisions.

Financial Servicesbank servicesmarriage registration
0 likes · 10 min read
Can Getting Marriage Licenses at Banks Boost Marriage Rates? A Critical Look
Model Perspective
Model Perspective
Aug 12, 2026 · Industry Insights

Why Zhu Rongji’s Greatest Strength Was Knowing When to Pivot, Not Just Being Tough

The article examines how Zhu Rongji’s legacy stems from his ability to balance inflation control, growth, and financial stability, to reform institutions rather than merely enforce discipline, and to shift policies—tightening in overheating periods and stimulating during downturns—demonstrating that timing and judgment, not sheer force, defined his governance.

China ReformEconomic PolicyMacroeconomic Governance
0 likes · 9 min read
Why Zhu Rongji’s Greatest Strength Was Knowing When to Pivot, Not Just Being Tough
Model Perspective
Model Perspective
Aug 10, 2026 · Industry Insights

Did E‑commerce Truly Eliminate Middlemen? Analyzing the Shift from Physical to Algorithmic Intermediaries

The article examines how e‑commerce compresses traditional distribution chains, creates new digital intermediaries such as algorithms and traffic slots, reshapes retailer competition, and argues that the real issue is the balance between platform capability and market power rather than a simple elimination of middlemen.

E-commerceconsumer costdigital platforms
0 likes · 12 min read
Did E‑commerce Truly Eliminate Middlemen? Analyzing the Shift from Physical to Algorithmic Intermediaries
Model Perspective
Model Perspective
Aug 9, 2026 · Industry Insights

Why Shanghai’s Flooding Is So Severe: Rainfall Intensity vs Drainage Capacity

The article explains that Shanghai’s recent severe flooding is less about total rainfall and more about how quickly rain falls, overwhelming the city’s drainage system, and uses simple hydrological calculations to illustrate the balance between inflow rate, storage capacity, and outflow capability.

city resiliencedrainage capacityhydrological modeling
0 likes · 8 min read
Why Shanghai’s Flooding Is So Severe: Rainfall Intensity vs Drainage Capacity
Model Perspective
Model Perspective
Aug 7, 2026 · Industry Insights

Why Cheaters Aim for 80 Points Instead of 70: Two Models from the Henan “Three Supports, One Assistance” Scandal

The article uses two statistical models to explain why participants in the Henan “Three Supports, One Assistance” exam cheat to scores around 80 rather than the lower 70, and why a simple score‑threshold rule cannot effectively deter such cheating, offering concrete policy suggestions.

cheatingpolicyregulation
0 likes · 10 min read
Why Cheaters Aim for 80 Points Instead of 70: Two Models from the Henan “Three Supports, One Assistance” Scandal
Model Perspective
Model Perspective
Aug 6, 2026 · Industry Insights

Do 20 Dumplings Really Equal 6–7 Steamed Buns? A Calorie Comparison

The article analyzes whether 20 pork‑and‑cabbage dumplings provide the same energy as 6–7 steamed buns by examining weight ranges, energy densities, and the impact of filling fat, concluding that the equivalence holds only for certain bun sizes and that side dishes must be considered for a fair comparison.

calorie comparisondumplingsfood science
0 likes · 7 min read
Do 20 Dumplings Really Equal 6–7 Steamed Buns? A Calorie Comparison
Model Perspective
Model Perspective
Aug 5, 2026 · Industry Insights

How the US‑Iran Conflict Could Shift US House Seats in the 2026 Midterms

The article models how the US‑Iran war raises oil prices, depresses presidential approval, and ultimately translates into an estimated swing of three to four House seats—though uncertainty widens the range to zero to seven seats—by chaining regression‑derived coefficients for each step.

US-Iran conflictmidterm electionsoil price impact
0 likes · 9 min read
How the US‑Iran Conflict Could Shift US House Seats in the 2026 Midterms
Model Perspective
Model Perspective
Aug 4, 2026 · Industry Insights

Is the Su Super League Really Cooling? A Data‑Driven Look at Attendance, Online Buzz, and Commercial Impact

The article examines conflicting claims about the Su Super League's popularity by defining three dimensions of "heat"—online attention, offline attendance, and commercial monetization—presenting data that shows a 16% rise in stadium crowds while online buzz naturally wanes, and explaining how weight choices drive the debate.

Chinese footballMarket AnalysisSIR model
0 likes · 10 min read
Is the Su Super League Really Cooling? A Data‑Driven Look at Attendance, Online Buzz, and Commercial Impact
Model Perspective
Model Perspective
Aug 2, 2026 · Artificial Intelligence

Is AI Solving Math Problems Just Formalized Brute‑Force? An In‑Depth Analysis

OpenAI’s Astra model solved ten decades‑old math and theoretical CS problems, prompting a detailed analysis that shows while some proofs rely on formalized brute‑force methods, most breakthroughs stem from clever reductions and heuristic search guided by deep mathematical priors rather than pure enumeration.

AIComputer-Assisted ProofsHeuristic Search
0 likes · 11 min read
Is AI Solving Math Problems Just Formalized Brute‑Force? An In‑Depth Analysis