Arlington plans to turn poop into consumer-grade fertilizer by 2031 38%

By Dan Egitto27%

7/31/2026, 5:30:16 AM

BS Summary: This article contains 12 faulty reasoning types, including Confirmation Bias, Attempt to Sell a Product or Service, and Overconfidence Bias, with Optimism Bias as the most egregious example at 21.9% saturation with 73 hits. Analysis detected 464 faulty-reasoning hits from 333 analyzed words, generating a BS Score of 38% and a BS Rank of 38% (16,945 of 27,228 articles). This article is better (less manipulative) than 62.20% of the article peer group.

Arlington County is just a few years out from realizing its dream of turning residents’ solid waste into natural gas and consumer-grade fertilizer. 
Arlington Re-Gen, a long-awaited upgrade to the county’s wastewater treatment process, is expected to begin producing a product known as “Class A biosolids” by late 2030 or early 2031 — providing more opportunities for the second life of Arlington residents’ No. 
2. 
Arlington’s product will be similar to the “Bloom” compost alternative produced in D.C., which the District sells throughout the region as fertilizer. 
Most of Arlington’s biosolids will be “beneficially reused through permitted land application,” Katie O’Brien, a spokesperson for the Department of Environmental Services, told ARLnow. 
“While Arlington County does not currently anticipate selling Class A biosolids directly to consumers, we will be undertaking a biosolids marketing study and will look for opportunities to distribute Class A biosolids to local residents and businesses, as well as opportunities for co-marketing with other similar products in the region,” O’Brien said. 
Arlington’s Water Pollution Control Plant currently produces Class B biosolids that are applied in permitted sites throughout rural Virginia. 
After the upgrades, the plant is expected to pump out about 19,000 wet tons of Class A biosolids per year. 
“Class A biosolids undergo a higher level of treatment than the County’s current Class B biosolids, allowing for broader beneficial reuse under applicable regulations,” O’Brien said. 
Renovations at the wastewater plant, which have a price tag of about $200 million, will also improve the processing of biogas, a byproduct of the wastewater treatment process. 
Biogas will be converted into renewable natural gas that will be injected into the Washington Gas pipeline. 
The county expects to produce about 240 standard cubic feet per minute of natural gas, an energy equivalent of about 13.4 million British thermal units per hour. 
The Re-Gen project as a whole is expected to reduce the county’s overall carbon footprint by about 5,700 tons per year, O’Brien said. 
Article reasoning-pattern comparisonThis article: 15.6%Dan Egitto: 1.7%ARLnow: 1.1%Confirmation Bias15.6%This article: 12.3%Dan Egitto: 0.8%ARLnow: 0.5%Anchoring Bias12.3%This article: 0.0%Dan Egitto: 0.6%ARLnow: 1.6%Availability Heuristic0.0%This article: 6.6%Dan Egitto: 0.6%ARLnow: 0.9%Representativeness Heuristic6.6%This article: 0.0%Dan Egitto: 1.4%ARLnow: 0.3%Hindsight Bias0.0%This article: 14.1%Dan Egitto: 0.5%ARLnow: 0.7%Overconfidence Bias14.1%This article: 0.0%Dan Egitto: 4.5%ARLnow: 2.0%Framing Effect0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.3%Loss Aversion0.0%This article: 5.7%Dan Egitto: 1.8%ARLnow: 0.8%Status Quo Bias5.7%This article: 8.4%Dan Egitto: 0.3%ARLnow: 0.1%Sunk Cost Effect8.4%This article: 21.9%Dan Egitto: 3.8%ARLnow: 3.1%Optimism Bias21.9%This article: 0.0%Dan Egitto: 1.3%ARLnow: 0.9%Pessimism Bias0.0%This article: 0.0%Dan Egitto: 3.7%ARLnow: 3.1%Negativity Bias0.0%This article: 0.0%Dan Egitto: 0.5%ARLnow: 0.6%Self-Serving Bias0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Actor-Observer Bias0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.9%In-Group Bias0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Out-Group Homogeneity Bias0.0%This article: 6.9%Dan Egitto: 2.7%ARLnow: 2.3%Halo Effect6.9%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Horn Effect0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Dan Egitto: 1.1%ARLnow: 0.9%Recency Bias0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Primacy Effect0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Blind-Spot Bias0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.3%Ad Hominem0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Straw Man0.0%This article: 7.8%Dan Egitto: 1.2%ARLnow: 1.7%Appeal to Authority7.8%This article: 12.3%Dan Egitto: 0.8%ARLnow: 0.5%False Dilemma12.3%This article: 0.0%Dan Egitto: 0.4%ARLnow: 0.2%Slippery Slope0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Circular Reasoning0.0%This article: 0.0%Dan Egitto: 0.9%ARLnow: 1.8%Hasty Generalization0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Red Herring0.0%This article: 0.0%Dan Egitto: 0.7%ARLnow: 0.3%Bandwagon0.0%This article: 0.0%Dan Egitto: 1.5%ARLnow: 1.9%Appeal to Emotion0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Begging the Question0.0%This article: 12.0%Dan Egitto: 1.3%ARLnow: 1.0%Post Hoc (False Cause)12.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Tu Quoque0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.2%Burden of Proof0.0%This article: 0.0%Dan Egitto: 0.5%ARLnow: 0.1%Appeal to Nature0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Composition/Division0.0%This article: 0.0%Dan Egitto: 0.4%ARLnow: 0.9%Anecdotal0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%No True Scotsman0.0%This article: 0.0%Dan Egitto: 0.7%ARLnow: 0.9%Ambiguity (Equivocation)0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Middle Ground0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Personal Incredulity0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Special Pleading0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.0%Genetic Fallacy0.0%This article: 0.0%Dan Egitto: 1.4%ARLnow: 0.8%Unattributed Quote0.0%This article: 0.0%Dan Egitto: 0.2%ARLnow: 0.4%Quote-first Misdirection0.0%This article: 0.0%Dan Egitto: 1.8%ARLnow: 1.1%Biased Writer Voice0.0%This article: 0.0%Dan Egitto: 0.5%ARLnow: 0.7%Indoctrination0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Dan Egitto: 0.0%ARLnow: 0.1%Politically Right Leaning Bias0.0%This article: 15.6%Dan Egitto: 2.1%ARLnow: 1.0%Attempt to Sell a Product or S…15.6%

333 words analyzed.

Speakers

1speaker30%attributed speech232writer words
Selected voice

Katie O'Brien

100%flagged-word coverage
101 attributed words100% of attributed speech89% writer coverage
0%27.5%55.0%Attempt to Sell a Product +51.5 ptsWriter: 0.0%Katie O'Brien: 51.5%51.5%

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.