$104M Utah heavy rare earth expansion targets materials for six million EVs yearly 70%

By Aamir Khollam64%

7/31/2026, 4:44:07 PM

BS Summary: This article contains 24 faulty reasoning types, including Attempt to Sell a Product or Service, Framing Effect, and Hasty Generalization, with Optimism Bias as the most egregious example at 65.6% saturation with 363 hits. Analysis detected 1,394 faulty-reasoning hits from 553 analyzed words, generating a BS Score of 56.2% and a BS Rank of 70% (8,191 of 26,878 articles). This article is worse (more manipulative) than 69.50% of the article peer group.

China dominates global heavy rare earth processing, creating a major challenge for U.S. manufacturers that rely on the materials for permanent magnets used in electric vehicles, defense systems, robotics, and other advanced technologies. 
Energy Fuels aims to narrow that gap by expanding its White Mesa Mill in Utah into one of the few commercial facilities in North America capable of producing both light and heavy rare earth oxides, strengthening the company’s planned mine-to-magnet supply chain. 
Utah rare earth expansion 
The White Mesa Mill already produces up to 1,000 metric tons of separated neodymium-praseodymium (NdPr) oxide each year. 
Energy Fuels has now started construction on an expansion that will add commercial production of heavy rare earth oxides, including terbium and dysprosium, by the end of 2027. 
Production of samarium, europium and gadolinium oxides is scheduled to follow in 2028. 
Those heavy rare earths improve the heat resistance and magnetic performance of permanent magnets used in electric motors, military systems and other high-performance applications. 
Commercial processing capacity outside China remains limited, making the expansion strategically important for Western manufacturers. 
President and CEO Ross Bhappu said the company has already demonstrated the technology through pilot operations and is now ready to move into commercial-scale production. 
He said producing both light and heavy rare earth oxides will set Energy Fuels apart as it builds an integrated mine-to-magnet business through its planned acquisitions of Australian Strategic Materials and Vacuumschmelze. 
Once complete, the expansion will give the Utah facility annual capacity to produce approximately 20 metric tons of terbium, 120 metric tons of dysprosium, 140 metric tons of samarium, 20 metric tons of europium and 140 metric tons of gadolinium oxides. 
Energy Fuels designed the expansion around expected feedstock from the Donald Project in Australia, which could begin producing monazite concentrate in 2028 following a final investment decision expected later this year. 
After processing at White Mesa, the rare earth oxides will move to Australian Strategic Materials’ facilities in South Korea for conversion into rare earth metals and alloys. 
Those materials are then expected to supply Vacuumschmelze’s magnet manufacturing plant in Sumter, South Carolina, creating an integrated supply chain that links mining, processing, alloy production and finished magnet manufacturing across allied nations. 
The company also plans to install a processing circuit for mixed rare earth carbonates, allowing the mill to process a broader range of feedstocks while producing uranium and rare earth oxides simultaneously. 
Energy Fuels estimates the current expansion will cost about $104 million. 
Government loans and grants are expected to cover much of the project, while the company plans to fund the remaining investment from its existing cash reserves. 
Another White Mesa expansion is planned for 2029 to significantly increase production of both light and heavy rare earth oxides using material from projects in Australia, Madagascar and Brazil alongside third-party supplies. 
According to Energy Fuels, the fully integrated mine-to-magnet network could eventually produce about 15,700 metric tons of permanent magnets annually. 
The company says that output would be enough to supply magnets for up to six million electric or hybrid vehicles each year, around four million humanoid robots and thousands of offshore wind turbines, underscoring the scale the company hopes to achieve as it builds a Western alternative to China’s rare earth supply chain. 
Article reasoning-pattern comparisonThis article: 2.7%Aamir Khollam: 2.3%Interesting Engineering: 3.2%Confirmation Bias2.7%This article: 11.8%Aamir Khollam: 1.6%Interesting Engineering: 1.1%Anchoring Bias11.8%This article: 3.3%Aamir Khollam: 1.5%Interesting Engineering: 2.1%Availability Heuristic3.3%This article: 9.6%Aamir Khollam: 1.3%Interesting Engineering: 1.0%Representativeness Heuristic9.6%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.2%Hindsight Bias0.0%This article: 8.1%Aamir Khollam: 2.3%Interesting Engineering: 4.3%Overconfidence Bias8.1%This article: 16.1%Aamir Khollam: 5.8%Interesting Engineering: 5.5%Framing Effect16.1%This article: 0.0%Aamir Khollam: 0.2%Interesting Engineering: 0.1%Loss Aversion0.0%This article: 6.0%Aamir Khollam: 0.8%Interesting Engineering: 0.6%Status Quo Bias6.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.4%Sunk Cost Effect0.0%This article: 65.6%Aamir Khollam: 21.3%Interesting Engineering: 15.3%Optimism Bias65.6%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.4%Pessimism Bias0.0%This article: 6.0%Aamir Khollam: 0.4%Interesting Engineering: 1.0%Negativity Bias6.0%This article: 4.5%Aamir Khollam: 4.0%Interesting Engineering: 4.0%Self-Serving Bias4.5%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Fundamental Attribution Error0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.8%In-Group Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Out-Group Homogeneity Bias0.0%This article: 4.3%Aamir Khollam: 3.1%Interesting Engineering: 4.4%Halo Effect4.3%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 5.8%Aamir Khollam: 0.8%Interesting Engineering: 0.9%Recency Bias5.8%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.2%Primacy Effect0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 10.3%Aamir Khollam: 5.7%Interesting Engineering: 7.1%Appeal to Authority10.3%This article: 2.7%Aamir Khollam: 0.9%Interesting Engineering: 1.2%False Dilemma2.7%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.3%Slippery Slope0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Circular Reasoning0.0%This article: 15.6%Aamir Khollam: 3.6%Interesting Engineering: 4.1%Hasty Generalization15.6%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Red Herring0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.7%Bandwagon0.0%This article: 9.6%Aamir Khollam: 1.5%Interesting Engineering: 1.9%Appeal to Emotion9.6%This article: 5.8%Aamir Khollam: 0.5%Interesting Engineering: 1.0%Begging the Question5.8%This article: 4.7%Aamir Khollam: 1.5%Interesting Engineering: 1.9%Post Hoc (False Cause)4.7%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.4%Burden of Proof0.0%This article: 6.0%Aamir Khollam: 0.1%Interesting Engineering: 0.2%Appeal to Nature6.0%This article: 0.0%Aamir Khollam: 0.5%Interesting Engineering: 0.4%Composition/Division0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.6%Anecdotal0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%No True Scotsman0.0%This article: 0.0%Aamir Khollam: 1.2%Interesting Engineering: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Middle Ground0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Special Pleading0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 4.5%Aamir Khollam: 0.9%Interesting Engineering: 1.4%Unattributed Quote4.5%This article: 0.0%Aamir Khollam: 0.6%Interesting Engineering: 0.6%Quote-first Misdirection0.0%This article: 6.0%Aamir Khollam: 2.4%Interesting Engineering: 3.3%Biased Writer Voice6.0%This article: 4.7%Aamir Khollam: 0.2%Interesting Engineering: 0.6%Indoctrination4.7%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Politically Left Leaning Bias0.0%This article: 9.6%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Politically Right Leaning Bias9.6%This article: 28.9%Aamir Khollam: 6.9%Interesting Engineering: 9.3%Attempt to Sell a Product or S…28.9%

553 words analyzed.

Speakers

2speakers37%attributed speech349writer words
Selected voice

Ross Bhappu

100%flagged-word coverage
57 attributed words28% of attributed speech91% writer coverage
0%30.0%60.0%Attempt to Sell a Product +52.4 ptsWriter: 3.7%Ross Bhappu: 56.1%56.1%Unattributed Quote+43.9 ptsWriter: 0.0%Ross Bhappu: 43.9%43.9%Biased Writer Voice-9.5 ptsWriter: 9.5%Ross Bhappu: 0.0%0.0%Indoctrination-7.4 ptsWriter: 7.4%Ross Bhappu: 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.