Flawed climate metrics to avoid in analysis

The Probability Gap: How the mispricing of Climate Tail Risk threatens financial stability The financial sector relies on a simple yet increasingly risky misunderstanding of risk. We have traditionally regarded catastrophic climate scenarios as tail risks—unlikely events that are only a small part of our models. But what if the mathematical foundation for that perspective is flawed? This isn't a philosophical question; it's a measurable problem of model risk that needs urgent attention from any fiduciary responsible for protecting capital. After thirty years of developing enterprise risk management systems, from founding Algorithmics to creating RiskThinking.AI, I’ve learned that the biggest vulnerabilities come from assumptions we refuse to question. The evidence now shows that our core assumption about the likelihood of climate-related disaster is flawed, and it's time to revisit our understanding of risk from the ground up. The Probability Gap: Where Financial Models Diverge from Reality The gap between climate science and financial practice is evident. Recent analysis from Oxford Economics estimates a 57.5% chance of climate catastrophe scenarios. However, the standard Expected Credit Loss (ECL) models used by banks assign only a 5% likelihood to these same scenarios. This isn't a calibration mistake; it's a fundamental mismatch of scale that risks undermining systemic stability. Climate science indicates a 57.5% chance of catastrophic scenarios, yet traditional bank credit models assign them only a 5% weight. This isn't a calibration error; it's a fundamental "Probability Gap" at the heart of our financial system. We are misjudging highly probable outcomes as unlikely tail risks because our models—intended for a stable world of mean reversion—are not functioning correctly in our new, non-stationary climate reality. The result is a widespread mispricing of risk. When the data suggests that catastrophic outcomes are this probable, failing to consider them properly isn't just poor strategy—it is a breach of fiduciary duty. The only logical response is to update our framework. This requires a new technological infrastructure capable of modelling these complex, multifactor risks stochastically. After decades of building risk systems, from Algorithmics to RiskThinking.AI, I can say with certainty that the tools to do this exist today. The challenge is no longer technical; it's about leadership. Institutions that revise their planning assumptions and acknowledge the real likelihood of these tail events will gain a crucial analytical edge in the coming decades. Is your risk framework designed for the world that is, or the world that was? #ClimateRisk #FinancialRisk #RiskManagement #ESG #Finance #Adaptation #SystemicRisk #Leadership  

Reducing Nature-based Solutions to simple carbon calculators is not just reductionist; it is scientifically risky. We often view Nature-based Solutions as the perfect tool to mitigate climate change. While they are indeed fundamental, a new study in PNAS by Kou-Giesbrecht et al. (2025) warns us against placing all our bets solely on the carbon metric. The study analyzes Earth System Models, the complex simulations used to project climate change and guide policy. The authors found a critical flaw: these models appear to assume that as carbon dioxide rises, forests will automatically access enough nitrogen to fuel extra growth. However, physiology tells a different story. 📉 The nitrogen limit While I am not an expert in plant physiology or global modeling, my understanding of the paper suggests a significant oversight in how we account for biological costs. The analysis reveals that current models overestimate natural biological nitrogen fixation by over 50% in productive ecosystems like forests. As shown in the probability distribution in Figure 5, correcting this error reduces the projected carbon dioxide fertilization effect by approximately 11%. In plain language: Nature might not be able to clean up our emissions as fast as the models predicted because trees run into nutritional limits. 🌱 Beyond the carbon tunnel vision This finding validates what we have been advocating for in the Social-Ecological Systems community. If the carbon "return on investment" of nature is uncertain or lower than expected, the design of Nature-based Solutions must prioritize co-benefits. As we demonstrated in Palomo et al. (2021), these solutions are not just technical fixes; they are drivers of transformative change. But this only happens if they are planned with the community, attending to values to ensure they are durable and adaptive over time. Furthermore, as analyzed in González-García et al. (2025), the economic and social value of these interventions relies heavily on how co-benefits are distributed among people. ⚠️ The uncomfortable reality This brings us to a necessary reflection. Nature has physical boundaries. The nitrogen limit is a reminder that biological systems cannot scale infinitely to match our economic output. Nature-based Solutions are essential, but they are not a substitute for rapid decarbonization. 👇 References Kou-Giesbrecht et al. (2025), PNAS 📄https://lnkd.in/egUp_5Mn Palomo et al. (2021), One Earth 📄https://lnkd.in/eQRm6ykf González-García et al. (2025), Cell Reports Sustainability 📄https://lnkd.in/evb6_Qkb #NatureBasedSolutions #SocialEcologicalSystems #ClimateChange #Biodiversity #PlanetaryBoundaries #Sustainability #Decarbonization

A critical aspect of carbon accounting, especially in the financial sector, is the challenge of double-counting Scope 3 emissions. These emissions, originating from a company's customers and supply chains, create a complex scenario where multiple parties end up tallying the same emissions. For investors, tracking financed emissions can lead to layers of duplication, generating misleading metrics for assessing climate progress. This duplication effect is exemplified by how a single emission can be reported by various entities along a value chain. Imagine an investor that holds shares of Vinci SA, an owner and operator of airports; TotalEnergies SE, an energy company and jet-fuel supplier; airline Air France-KLM and aircraft manufacturer Airbus SE, plus a host of other big corporates who send their employees on overseas business trips. For every ton of carbon that’s emitted from an Air France A350 plane that takes off from Vinci’s Lyon-Saint Exupéry airport, that investor would count its share of Air France’s Scope 1 emissions (those generated from aircraft engines), TotalEnergies’s downstream Scope 3 (as Air France is its customer), Vinci’s Scope 3 (as it operates the airport), Airbus’ Scope 3 (as Air France is its customer) and the Scope 3 from business travel of all the companies that have passengers on the plane. Conversely, the day (if it ever comes) that a plane takes off from Lyon powered by a zero emissions fuel, the emissions of Air France, TotalEnergies, Vinci, Airbus and business travelers would all go away, meaning the investor could claim a fivefold reduction in financed emissions for each ton of emissions reduced in the real world. https://lnkd.in/dcbgtQJN

3 Deadly ESG Mistakes Hiding in Your Reports (And How to Fix Them)” Most ESG reports look flawless on the surface. But as an ESG consultant with 30+ years of experience, I’ve audited hundreds of reports—and 9 out of 10 fail to address these 3 deadly mistakes. Read to uncover what your auditors won’t tell you → Mistake 1: Cherry-Picked Metrics The Flaw: Highlighting “reduced emissions by 50%!” …but only at one factory. Why It Fails: 43% of investors penalize companies for vague or selective data. Greenwashing erodes trust: 70% of consumers distrust brands with inconsistent ESG claims. The Fix: ✅ Adopt GRI/SASB frameworks for standardized reporting. ✅ Disclose full context: baselines, boundaries, and exclusions. Mistake 2: Ignoring Scope 3 Emissions The Flaw: Pretending your supply chain isn’t your problem. Why It Fails: Scope 3 accounts for 70-90% of your carbon footprint. $4.5B in fines were issued last year for poor supply chain due diligence. The Fix: ✅ Map your entire value chain with tools like Sphera or EcoVadis. ✅ Set science-based targets for Scope 3 reductions (not just offsets). Mistake 3: Treating ESG as a PR Exercise The Flaw: Delegating ESG to junior teams or CSR departments. Why It Fails: 85% of companies with siloed ESG strategies see stagnant ROI. Investors prioritize firms where ESG is tied to executive pay (only 15% do this). The Fix: ✅ Embed ESG into TQM (Total Quality Management) across procurement, R&D, and finance. ✅ Train leaders to treat ESG as a core growth driver, not a compliance checkbox. If your reports make these mistakes, you’re not just risking fines—you’re missing 15-20% ROI from sustainability-driven growth. Let’s Fix It: 1️⃣ Free Audit: I’ll review your ESG report for these 3 deadly errors. 2️⃣ Custom Action Plan: Get a roadmap to align with global standards and unlock ROI. 👉 DM “ESG AUDIT” to claim your free audit slot. Only 5 spots open this month. Repost to save a leader from these pitfalls. ♻️ P.S. Malaysian companies: These mistakes cost you 30% more in 2024. Don’t wait for Bursa Malaysia to call you out.

⚠️ 4 critical mistakes in your physical risk scenario analysis…  And how to avoid them    Having worked on scenario analysis with dozens of financial institutions and corporates, I see 4 common errors that vastly reduce the usefulness of the assessments and leave firms exposed to climate shocks. These are:  - Confusing Average Scenarios with Extremes  - Misalignment of Time Horizons  - Narrowing the Range of Relevant Hazards  - Ignoring Second-Order Effects and Correlations    Through our team’s experience supporting on climate scenario analysis, financial stress testing and risk modelling, we have developed strategies to help you avoid these pitfalls.     Below is our downloadable for identifying and addressing these 4 errors. It’s free for you to download and use as a resource with your risk and modelling teams. 👉 Newsletter subscribers get the earliest access to these new resources and also get a deep dive into overcoming these 4 errors.  Subscribe today and don’t miss out: https://lnkd.in/eAtjsNbA #ClimateRisk #PhysicalRisk #ClimateChange #RiskManagement #SustainableFinance #StressTesting #ScenarioAnalysis