Administration’s Fuzzy Math Will Undermine Energy Efficiency Savings 38%

By Alison F. Takemura0%

7/9/2026, 4:30:00 AM

BS Summary: This article contains 32 faulty reasoning types, including Availability Heuristic, Confirmation Bias, and Appeal to Authority, with Negativity Bias as the most egregious example at 29.8% saturation with 266 hits. Analysis detected 2,346 faulty-reasoning hits from 893 analyzed words, generating a BS Score of 43.8% and a BS Rank of 38% (13,742 of 21,887 articles). This article is better (less manipulative) than 62.80% of the article peer group.

This story was originally published by Canary Media and is reproduced here as part of the Climate Desk collaboration. 
Energy efficiency standards can make it more expensive to construct new buildings, but they save money for residents in the long run. 
In a new analysis, the Trump administration ignored the second half of that equation—a move that energy experts fear could undermine efficiency efforts nationwide. 
Late last month, the US Department of Energy announced it found that if every state adopted the model 2024 International Energy Conservation Code (IECC) instead of following a 20-year-old building code, the move would drive up housing construction costs by $9.2 billion annually. 
It’s a break with decades of DOE analysis, spanning Republican and Democratic administrations, which has reported significant energy and financial savings under each iteration of the code. 
“The Energy Department is completely contradicting its own findings,” said Donna Stanley, vice president of communications at the nonprofit International Code Council , which develops the model code.  
“The DOE’s new methodology is a deep mystery.” 
The moves to crush efficiency measures could exacerbate the country’s affordability problems. 
The DOE did not respond by Monday to Canary Media’s question of why it chose to exclude energy bill savings in its analysis. 
The IECC, which is updated every three years, has cut energy use in new homes in half since it was first enacted in the late 1970s. 
While the code is fuel-neutral, meaning that builders can install fossil-fueled equipment , it still has a positive impact for the climate because it reduces energy demand that would be met at least in part by burning fossil fuels. 
Most states adopt the IECC or an amended version rather than create their own rules from scratch. 
Some states, like Alabama, don’t impose statewide standards. 
In those cases, local governments may choose to use the IECC themselves; as the city of Montgomery does, for example. 
Depending on the code-adoption cycle, there can be a lag of several years before a state or local jurisdiction takes up the latest iteration of the IECC. 
To date, 10 states have adopted the 2024 code, per the International Code Council. 
The DOE’s analysis could have a chilling effect on other states still in the process of locking in the 2024 code, including Massachusetts, Minnesota, and Ohio. 
Lawmakers who have sought to restrict more-efficient building codes— such as those in the Missouri House of Representatives —could use the analysis as fodder for their arguments, according to Ben Rabe, associate director of codes and policy at New Buildings Institute. 
The analysis comes as the Trump administration has sought to squelch energy-efficiency efforts across the country. 
In 2025, it sued two California cities over their superefficient all-electric codes, and this year it has barred households from using federal home-electrification rebates to swap fossil-fueled appliances for heat-pump options. 
In May, the Trump DOE also rescinded a Biden-era requirement that new homes meet the 2021 IECC standard to qualify for federal mortgage loans. 
The moves to crush efficiency measures could exacerbate the country’s energy-affordability problems, making people spend more at a time when electricity and fuel costs have risen fast . 
Adoption of the latest codes would save US homes and businesses $182 billion from 2010 to 2040. 
The DOE has done a cost-benefit analysis of every version of the IECC, but this latest one is the first time the agency has tallied only the upfront costs from home construction and ignored the long-term bill savings, said Ted Tiffany, senior technical lead at the Building Decarbonization Coalition, a nonprofit advocacy group. 
That’s like comparing cars based solely on their sticker prices while ignoring fuel costs and maintenance expenses, he added.  
“A cheaper car may cost less on Day 1, but a more efficient vehicle can save money and provide better performance, safety, and last longer over its lifetime.” 
In a report for the DOE last year, the Pacific Northwest National Laboratory calculated the utility bill savings for people who move into homes built to the new standard. 
The 2024 model code generates an average life-cycle cost savings of nearly $3,000 per residence over the 2021 code, it estimated, though in specific regions that could rise to almost $9,500. 
The average payback time for a buyer paying for a home in cash, it found, is 2.5 years. 
Those who get a mortgage would typically see net savings on their combined home and utility payments in just one year. 
The adoption of the IECC’s latest residential and commercial energy codes would save US homes and businesses $182 billion between 2010 and 2040, according to a DOE webpage that was removed shortly before the announcement. 
“This is the definition of cost-effectiveness,” Tiffany said. 
The DOE’s new analysis also rests on a questionable time-period comparison: It benchmarked the 2024 IECC against the 2006 version. 
Forty-nine states have already adopted more advanced energy codes for new residential units, according to Tiffany; they’re not building to 2006 standards. 
The DOE’s comparison really works only ​“for perhaps Arkansas,” he said, which lags the rest of the US in building energy codes. 
The agency has estimated the added construction costs for compliance with the 2024 IECC over the 2006 IECC at $14,000 per home. 
“But we’ll save way more than that over the life of these buildings,” Rabe said. 
Article reasoning-pattern comparisonThis article: 23.3%Alison F. Takemura: 5.8%Mother Jones: 4.0%Confirmation Bias23.3%This article: 0.0%Alison F. Takemura: 0.6%Mother Jones: 0.7%Anchoring Bias0.0%This article: 24.0%Alison F. Takemura: 6.0%Mother Jones: 3.3%Availability Heuristic24.0%This article: 7.4%Alison F. Takemura: 1.8%Mother Jones: 0.8%Representativeness Heuristic7.4%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.8%Hindsight Bias0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 1.2%Overconfidence Bias0.0%This article: 8.3%Alison F. Takemura: 14.9%Mother Jones: 7.2%Framing Effect8.3%This article: 6.3%Alison F. Takemura: 1.6%Mother Jones: 0.6%Loss Aversion6.3%This article: 3.0%Alison F. Takemura: 0.8%Mother Jones: 0.6%Status Quo Bias3.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.1%Sunk Cost Effect0.0%This article: 8.4%Alison F. Takemura: 3.1%Mother Jones: 1.6%Optimism Bias8.4%This article: 11.0%Alison F. Takemura: 2.7%Mother Jones: 1.9%Pessimism Bias11.0%This article: 29.8%Alison F. Takemura: 9.5%Mother Jones: 9.6%Negativity Bias29.8%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.8%Self-Serving Bias0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 1.0%Fundamental Attribution Error0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.2%Actor-Observer Bias0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 1.0%In-Group Bias0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.5%Out-Group Homogeneity Bias0.0%This article: 3.2%Alison F. Takemura: 0.8%Mother Jones: 1.5%Halo Effect3.2%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.3%Horn Effect0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 1.1%Recency Bias0.0%This article: 3.8%Alison F. Takemura: 1.0%Mother Jones: 0.3%Primacy Effect3.8%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.0%Blind-Spot Bias0.0%This article: 3.5%Alison F. Takemura: 1.7%Mother Jones: 1.9%Ad Hominem3.5%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.6%Straw Man0.0%This article: 17.4%Alison F. Takemura: 6.5%Mother Jones: 3.6%Appeal to Authority17.4%This article: 2.2%Alison F. Takemura: 0.6%Mother Jones: 1.4%False Dilemma2.2%This article: 1.3%Alison F. Takemura: 2.2%Mother Jones: 1.7%Slippery Slope1.3%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.1%Circular Reasoning0.0%This article: 16.8%Alison F. Takemura: 4.8%Mother Jones: 4.7%Hasty Generalization16.8%This article: 2.7%Alison F. Takemura: 0.7%Mother Jones: 0.2%Red Herring2.7%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.5%Bandwagon0.0%This article: 8.4%Alison F. Takemura: 4.1%Mother Jones: 6.4%Appeal to Emotion8.4%This article: 3.6%Alison F. Takemura: 0.9%Mother Jones: 1.1%Begging the Question3.6%This article: 12.7%Alison F. Takemura: 3.2%Mother Jones: 2.1%Post Hoc (False Cause)12.7%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.1%Tu Quoque0.0%This article: 6.8%Alison F. Takemura: 1.7%Mother Jones: 0.5%Burden of Proof6.8%This article: 4.4%Alison F. Takemura: 1.1%Mother Jones: 0.3%Appeal to Nature4.4%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.3%Composition/Division0.0%This article: 7.6%Alison F. Takemura: 1.9%Mother Jones: 2.3%Anecdotal7.6%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.1%No True Scotsman0.0%This article: 11.5%Alison F. Takemura: 2.9%Mother Jones: 1.4%Ambiguity (Equivocation)11.5%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.1%Middle Ground0.0%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.1%Personal Incredulity0.0%This article: 8.4%Alison F. Takemura: 2.1%Mother Jones: 0.1%Special Pleading8.4%This article: 0.0%Alison F. Takemura: 0.0%Mother Jones: 0.3%Genetic Fallacy0.0%This article: 3.2%Alison F. Takemura: 0.8%Mother Jones: 1.8%Unattributed Quote3.2%This article: 7.2%Alison F. Takemura: 1.8%Mother Jones: 1.5%Quote-first Misdirection7.2%This article: 4.5%Alison F. Takemura: 9.1%Mother Jones: 9.2%Biased Writer Voice4.5%This article: 1.3%Alison F. Takemura: 0.3%Mother Jones: 1.8%Indoctrination1.3%This article: 3.0%Alison F. Takemura: 5.7%Mother Jones: 4.5%Politically Left Leaning Bias3.0%This article: 1.8%Alison F. Takemura: 0.4%Mother Jones: 0.3%Politically Right Leaning Bias1.8%This article: 5.9%Alison F. Takemura: 1.5%Mother Jones: 0.7%Attempt to Sell a Product or S…5.9%

893 words analyzed.

Speakers

6speakers51%attributed speech434writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageUS Department of Energy • 43 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageDonna Stanley • 29 words • 100.0% coverageDonna Stanley • 8 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageInternational Code Council • 14 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageBen Rabe • 41 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageTed Tiffany • 53 words • 100.0% coverageTed Tiffany • 20 words • 0.0% coverageTed Tiffany • 28 words • 0.0% coveragePacific Northwest National Laboratory • 29 words • 0.0% coveragePacific Northwest National Laboratory • 31 words • 0.0% coveragePacific Northwest National Laboratory • 18 words • 0.0% coveragePacific Northwest National Laboratory • 21 words • 0.0% coverageUS Department of Energy • 35 words • 100.0% coverageTed Tiffany • 8 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageTed Tiffany • 22 words • 0.0% coverageTed Tiffany • 22 words • 0.0% coverageUS Department of Energy • 22 words • 0.0% coverageBen Rabe • 15 words • 0.0% coverage
Selected voice

Donna Stanley

100%flagged-word coverage
37 attributed words8.1% of attributed speech82% writer coverage
0%40.0%80.0%Unattributed Quote+78.4 ptsWriter: 0.0%Donna Stanley: 78.4%78.4%Quote-first Misdirection+78.4 ptsWriter: 0.0%Donna Stanley: 78.4%78.4%Biased Writer Voice-7.4 ptsWriter: 7.4%Donna Stanley: 0.0%0.0%Politically Left Leaning B-6.2 ptsWriter: 6.2%Donna Stanley: 0.0%0.0%Politically Right Leaning -3.7 ptsWriter: 3.7%Donna Stanley: 0.0%0.0%Indoctrination-2.8 ptsWriter: 2.8%Donna Stanley: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.