Climate Action Concerns Require More Than Attribution Headlines

Roger Pielke, Jr recently described “one of the most brazen — and successful — propaganda campaigns that sits out in plain sight”.  He was referring to “the concerted effort by climate advocates to create a belief that ‘climate change’ causes bad weather and disasters, and that we can prevent those bad things from happening with climate policies.”  I think he makes important points that are relevant to New York energy policy that is predicated upon the implicit belief that transitioning away from fossil fuels will reduce bad weather and disasters

I am convinced that implementation of the Climate Leadership & Community Protection Act (Climate Act) net-zero mandates will do more harm than good if the future electric system relies only on wind, solar, and energy storage because of reliability and affordability risks coupled with cumulative environmental impacts of those resources. The opinions expressed in this article do not reflect the position of any of my previous employers or any other organization I have been associated with, these comments are mine alone. I acknowledge the use of Perplexity AI to research and organize the material summarized in this article.

The climate-policy debate has two questions

Public discussion of climate change often collapses two distinct questions into one:

• Does human activity affect the climate system?
• Does that fact justify any particular energy-transition policy, on any timetable, at any cost?

The answer to the first question need not determine the answer to the second.

The authors of the Climate Act assumed that human activity was the control knob for the climate system.  Carbon dioxide is a greenhouse gas. Human activities affect atmospheric composition and therefore the climate system.  However, climate is not controlled by one variable. The size, timing, location, and consequences of climate change depend on CO₂-related radiation effects, other forcings, including water vapor and clouds, ocean heat uptake and circulation, ocean-atmosphere oscillations, aerosols, volcanic effects, solar variability, ice and surface-albedo changes, and atmospheric circulation patterns and feedbacks between all those forcings.

Climate advocates have created a belief that ‘climate change’ causes bad weather and disasters.   They implicitly claim that attribution and quantification demonstrate that the anthropogenic component of a particular observed or projected impact exceeds natural variability sufficiently to justify a stated damage cost.  Pielke’s article explains why claims that extreme-weather impacts can be attributed confidently to anthropogenic climate change by World Weather Attribution (WWA) are based on assumptions and do not consider all the other factors that affect climate and weather. 

Those distinctions matter most in New York, where the Climate Act requires a sweeping transformation of the state’s electric system, buildings, transportation, industrial processes, and energy supply. The Act’s goals are aspirationally attractive: reduce emissions, improve public health, and create a sustainable energy future. But practical public policy must be judged by what it actually does—not by its stated intentions.

The pertinent question is whether New York can implement the Climate Act’s net-zero mandates without compromising electric-system reliability, making energy unaffordable, or imposing environmental and community impacts that have not been honestly acknowledged. My conclusion remains that the current transition plan is more likely to do harm than good if it depends primarily on wind, solar, and energy storage before dispatchable emissions-free resources capable of replacing fossil generation are commercially available and deployed at scale.

This is not an argument that the climate never changes, that humans have no influence on climate, or that emissions reductions are necessarily pointless. It is an argument for distinguishing evidence from assertion, weather from climate, and sound risk management from a policy program that assumes its preferred technologies will work regardless of demonstrated feasibility, cost, and reliability.

The weather-attribution problem

One reason the transition has acquired such political force is the widespread claim that each damaging heat wave, flood, wildfire, drought, hurricane, or heavy-rainfall event is evidence of a worsening climate emergency—and that rapid decarbonization will reduce such events.

That narrative is emotionally compelling, particularly after a disaster. It is also much easier to communicate than the actual scientific questions. Weather and climate are often confused.  Weather is the set of short-term atmospheric conditions at a particular place and time. Climate is the statistical description of weather over a long period. NOAA’s useful shorthand is that climate is what people expect, while weather is what they get. The distinction does not mean that climate change cannot affect the odds or characteristics of some categories of events. It means that an individual event does not, by itself, demonstrate its cause.

World Weather Attribution (WWA) has become a prominent source of rapid claims linking recent extreme weather to climate change. WWA describes its purpose as providing “real-time attribution analysis” intended to connect greenhouse-gas emissions to impactful extremes such as heat waves, floods, droughts, and storms. The resulting reports often generate headlines stating that climate change made an event more likely or more intense.

There are legitimate questions to ask about every such claim:

• How was the event defined geographically and temporally?
• What observations were used, and how long is the local record?
• Can the selected models reproduce the relevant meteorology, the distribution of the particular extreme, and the regional climate setting?
• What role did circulation patterns, sea-surface temperatures, soil moisture, ENSO, or other internal variability play?
• What counterfactual assumptions were made?
• What is the uncertainty interval around the reported change in probability or intensity?
• How does a meteorological estimate become a conclusion about deaths, damages, or the value of a particular mitigation policy?

These are not rhetorical questions. They are the basic elements of a credible attribution analysis.

Pielke’s recent article is useful because it identifies a specific concern about the manner in which many extreme-event-attribution studies are framed and communicated. Pielke’s central point is that a common statistical approach begins by assuming that the principal shift in the distribution of an extreme-weather variable is due to global warming, then estimates how a present-day event would compare with a modeled or statistically reconstructed earlier climate. The criticism is not that carbon dioxide has no radiative effect. It is that a methodology can appear to establish causation when key causal premises are incorporated at the outset.

Pielke highlights methodological language from foundational attribution work that treats smoothed global mean surface temperature as the primary covariate for changes in extremes beyond year-to-year variability. He notes that four-year smoothing is used in some approaches to suppress ENSO-related fluctuations in the global temperature series. His concern is that this procedure does not independently adjudicate the role of natural variability, circulation, and other factors in the local event; it treats global temperature as the key explanatory fingerprint.

The article illustrates the concern with a deliberately absurd test. Pielke applies the same kind of statistical procedure to Major League Baseball home-run totals and finds a correlation with global mean surface temperature. He then produces an attribution-style comparison suggesting that the 2019 home-run record could not have occurred in a 1900 climate. The point is not that climate models literally claim climate change causes home runs. The point is that a statistical relationship between two trending quantities, combined with a counterfactual curve shift, does not by itself establish a physical causal relationship.

He makes the same point by substituting global patent applications for temperature in a replication-style exercise involving rainfall associated with Typhoon Hagibis. If the procedure can generate a striking counterfactual result using a variable with no plausible physical connection to rainfall, then the method must be evaluated not merely by its mathematical output but by the physical basis of the relationship, the treatment of competing influences, and the robustness of the result.

Pielke’s article describes the WWA advocacy orientation. The key point is that a press-release headline about climate change making a particular disaster more likely is not the same thing as a definitive causal demonstration. WWA is funded by climate advocacy philanthropies: Grantham Foundation, the European Climate Foundation and the Bezos Earth Fund.  A method’s assumptions, event selection, data choices, model skill, treatment of uncertainty, and physical plausibility all matter.  It is naïve to presume that the source of their funding does not affect the selection of those parameters.

My weather-versus-climate resource page has documented comparable concerns with treating unusual weather as conclusive proof of a climate-driven trend. It notes examples in which advocates have attributed floods or heat events to climate change without adequately considering the particular meteorological circumstances, historical context, or the role of natural patterns.^[102]

The appropriate response is neither to insist that all attribution work is worthless nor to accept every attribution headline without scrutiny. The appropriate response is to insist on transparency and proportionality. A statement that climate change altered the probability of a class of events is different from a claim that climate change caused a particular event. Both are different from the further claim that New York’s extraordinarily expensive energy mandates will noticeably reduce the risk of similar local events within any meaningful planning horizon.

Climate policy cannot repeal weather

The public often hears an implicit promise: make enough changes to the energy system and communities will experience fewer floods, fewer storms, fewer heat waves, and fewer disasters. That promise is misleading.

New York’s emissions are a tiny fraction of global emissions. Even complete achievement of the Climate Act’s emission targets would not produce a measurable change in global temperature or detectable changes in the frequency or intensity of weather events experienced by New Yorkers. That does not mean New York has no obligation to pursue sensible environmental policy. It means that state policy should not be sold as a near-term weather-control program.

A prudent climate-risk strategy should put much greater emphasis on measures that reduce vulnerability regardless of the future trajectory of temperature: reliable power during heat waves and cold spells; resilient transmission and distribution systems; floodplain management; upgraded drainage; better weather forecasting and warning systems; hardening of critical infrastructure; emergency preparedness; and protection for people least able to cope with severe weather.

Those investments can produce benefits whether the next severe event is shaped principally by natural variability, long-term climate change, poor land-use decisions, aging infrastructure, or some combination of all four. Adaptation and resilience are not alternatives to prudent emissions reductions; they are essential because weather hazards exist now and will continue to exist under every plausible energy-policy scenario.

A genuinely pragmatic approach

New York should reduce emissions where reductions are demonstrably cost-effective and do not compromise reliability. It should retain existing zero-emission generation, particularly nuclear and hydropower. It should encourage technological innovation, grid modernization, efficiency, and demand flexibility. It should not insist on zero emissions.  It should invest heavily in adaptation and resilience. It should also avoid mandates that force consumers to bear unlimited costs for a system that has not demonstrated it can operate reliably through adverse weather.

The required standard should be straightforward:

• Do not retire dispatchable generation before dependable replacement capacity is operating.
• Require rigorous full-system cost accounting, not selective generator-level comparisons.
• Set enforceable affordability safeguards and identify who will pay.
• Demonstrate reliability during extended low-wind and low-sun periods, extreme heat, extreme cold, and transmission contingencies.
• Evaluate land, habitat, and community effects as seriously as combustion emissions.
• Treat weather-attribution claims as evidence to be scrutinized, not as slogans that settle a policy debate.
• Invest in adaptation measures that reduce risks today regardless of the uncertain contribution of climate change to any individual event.

Climate policy deserves rigorous analysis precisely because the consequences are so important. The public should not be asked to accept dramatic claims of weather causation on faith, nor should it be asked to accept an unprecedented restructuring of the energy system without proof that the resulting system will be reliable, affordable, and environmentally beneficial.

My core concern is not that climate change is irrelevant. It is that energy and climate policy must be based on a realistic comparison of risks and benefits. If the cure creates unaffordable energy, reliability failures, unnecessary environmental damage, and little detectable influence on future weather hazards, then policymakers have an obligation to change course.