Industry Context — Common BS Fingerprints in Science, Research & Laboratories
QuanTech Inc.
(https://quantech.com) 📸 Data Snapshot: June 19, 2026Analyze the raw signals below. How would a machine score this business’s credibility?
Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.
🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)
HOMEPAGE Home – QuanTech Inc. (https://quantech.com)
Home – QuanTech Inc.
NAV_REPEATED_BODY Lead/Healthy Homes – QuanTech Inc. (https://quantech.com/lead-healthy-homes/)
Lead/Healthy Homes – QuanTech Inc.
In 2005-2006, QuanTech conducted the American Healthy Homes Survey for the Department of Housing and Urban Development (HUD) and the Environmental Protection Agency (EPA). The purpose of the survey was to measure the presence of lead, arsenic, allergens and pesticides in housing nationwide. A total of 1,131 homes were surveyed; a random subsample of 500 of those homes were sampled for pesticides. QuanTech continues to provide analytical support to HUD to investigate trends in the data collected. QuanTech has been involved in LBP work for EPA and HUD since the founding of the firm. The Environmental Sciences Group is managed by Dr. Gary Dewalt, who is active in the environmental testing industry. Dr. Dewalt served as project leader for most QuanTech lead-based paint studies involving field and chemical analysis activities, and was the task leader for field and laboratory portions of the EPA/HUD field study: Field Test of Lead-Based Paint Testing Technologies. This study, a joint effort conducted by QuanTech and Midwest Research Institute, was designed by Dr. David Cox, the President of QuanTech. Dr. Cox was also the author of Chapter 4, "Testing for Lead-Based Paint", in the 1990 HUD Guidelines, and of EPA's Model Lead Inspector Course published in 1993. QuanTech was involved in designing and conducting follow-on activities to the Field Test of Lead-Based Paint Testing Technologies, including operation of a testing archive formed from samples collected in the field study. This testing archive is used to develop Performance Characteristic Sheets (PCSs) for XRF testing as directed by the 1995 HUD Guidelines. QuanTech also designed and developed paint film standards for the National Lead Abatement Council (NLAC) in support of the National XRF Operators Registry through a grant funded from HUD. QuanTech produces leaded film standards for XRF and Test Kit applications.
REPEATED_BODY Large Pelagics Survey – QuanTech Inc. (https://quantech.com/lps/)
Large Pelagics Survey – QuanTech Inc.
QuanTech's Fisheries Research Group conducts the Large Pelagics Survey (LPS) for the US Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, NOAA Fisheries, Office of Science and Technology. Since 1992, the National Marine Fisheries Service has administered the LPS to collect information about the recreational fishery directed at large pelagic species (e.g., tunas, billfishes, swordfish, sharks, wahoo, dolphinfish, and amberjack) in the offshore waters from Maine through Virginia. Participation in this survey is greatly appreciated and is an important step toward fulfilling mandatory reporting requirements as an Highly Migratory Species (HMS) permit holder. The authority to collect LPS data comes from the Atlantic Tunas Convention Act and the Magnuson-Stevens Fishery Conservation and Management Act. The collection of catch and effort information on large pelagics also fulfills U.S. obligations to the International Commission for the Conservation of Atlantic Tunas (ICCAT). The LPS includes two independent, yet complementary, surveys which provide the effort and average catch per trip estimates needed to estimate total catch by species. The Large Pelagics Intercept Survey (LPIS) is a dockside survey of fishing access sites, primarily designed to collect catch data from private and charterboat captains who have just completed fishing trips directed at large pelagic species. LPIS data are used to estimate the average recreational catch per large pelagic boat trip by species. The LPIS involves intensive field interviewing in the coastal areas from Virginia through Maine. In Maine, the LPIS is conducted by State personnel. QuanTech conducts the LPIS from Virginia through New Hampshire. The LPIS involves: Revision and refinement of all field survey instruments and data collection procedures in cooperation with NOAA Fisheries; Creation and maintenance of a sampling frame of large pelagic fishing access sites; Detailed training of field interviewers in the methodology and procedures to be used in the field interviewing process; and, Procedures to verify and enhance the quality of the data collected using comprehensive field management techniques, and in-house SAS data checking programs. To meet the requirement of delivery of LPIS data files to NOAA Fisheries, data collected in the field is sent within 24 hours of interviewing assignment completion and checked for completeness and consistency. Optical Character Recognition (OCR) software is used to capture data from field forms. During data capture each entry on the form is verified by an OCR operator. A SAS dataset meeting NOAA Fisheries' specifications is prepared and delivered to NOAA Fisheries each month. The Large Pelagics Telephone Survey (LPTS) is conducted from QuanTech Headquarters in Rockville, Maryland using a custom-designed Computer Assisted Telephone Interviewing system. The LPTS collects data used to estimate the total number of boat trips on which anglers fished with rod and reel or handline for large pelagic species. For-hire boats are covered by a weekly survey, and private boats are covered by a biweekly survey. The Charter/Headboat LPTS is a survey of charter and headboat fishing for HMS. The Private LPTS covers both commercial fishing by vessels with General category HMS permits, and true recreational fishing by vessels with Angling category HMS permits.
NAV_REPEATED_BODY In-Person Surveys – QuanTech Inc. (https://quantech.com/intercept/)
In-Person Surveys – QuanTech Inc.
QuanTech specializes in in-person intercept surveys to collect various types of survey data. We have a network of experienced field supervisors that oversee highly trained interviewing staff. Our interviewing staff is trained on how to approach potential respondents in a manner that results in a high level of participation; they are also trained to convert soft refusals into participating respondents. Depending on our clients’ needs we collect the data using two methods; paper survey responses and electronic field data collection. Paper surveys are filled out by our interviewers and sent to QuanTech's headquarters where advanced image capturing software is used to convert handwritten responses into electronic text which is then validated by our office staff. QuanTech is also using cutting edge computer assisted personal interviewing systems to easily collect survey responses in the field. QuanTech employs experienced programming staff to design, develop and program electronic surveys that are deployed to laptops or sunlight readable tablets. Our field staff are trained to use electronic devices to efficiently collect responses from participants. A major benefit of electronic field data collection is the ability to incorporate complex skip rules and error checks that ensure the highest quality data is delivered to our clients in a timely manner.
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://quantech.com) Home – QuanTech Inc.
American Healthy Homes Survey IIDockside InterviewsComputer Assisted Telephone InterviewsElectronic Field Data CollectionLarge Pelagic Biological Survey QuanTech is Currently Conducting the Following Studies 2026 North Atlantic Striped Bass and Bluefish Recreational Fishing Survey QuanTech is conducting a mail push to web survey of recreational saltwater anglers on the Atlantic coast from Maine through North Carolina sponsored by the Atlantic States Marine Fisheries Commission (ASMFC). The goal of this survey is to help the ASMFC understand how anglers may be affected by potential changes in fishing conditions. If you were mailed a survey invitation with an access code, click here to access the survey. American Healthy Homes Survey II QuanTech is conducting data analysis for the second American Healthy Homes Survey (AHHS II) for the U.S. Department of Housing and Urban Development’s (HUD’s) Office of Lead Hazard Control and Healthy Homes www.hud.gov/healthyhomes. In AHHS II, homes are tested for lead in paint, dust, soil and water; pesticides and mold in dust; formaldehyde in air; and, safety hazards. QuanTech conducted the survey between March 2018 and May 2019 in 78 cities and counties in 37 states all over the U.S. Approximately 800 homes have been randomly selected in these areas to participate in the survey. QuanTech is currently analyzing the results. If your home is one of the 800 selected, you will receive an official letter inviting you to participate and offering you a financial incentive of $130. Even if you believe your home is free of lead paint or other hazards, HUD is still interested in testing it because this is the only way to be sure and to get an accurate count of how many of the tested homes do have hazards. More information about AHHS II can be found on HUD’s website at: https://www.hud.gov/program_offices/healthy_homes/ahhs_ii Large Pelagics Survey The Large Pelagics Survey collects information about the recreational fishery directed at large pelagic species (e.g., tunas, billfishes, swordfish, sharks, wahoo, dolphinfish, and amberjack) in the offshore waters from Maine through Virginia. More... Past projects conducted by QuanTech Interviewer Resources Clients NOAA Fisheries Housing and Urban Development U.S. Environmental Protection Agency National Center for Healthy Housing Maryland Department of Natural Resources
SUB-PAGE (https://quantech.com/lead-healthy-homes/) Lead/Healthy Homes – QuanTech Inc.
Lead Based Paint and Healthy Homes In 2005-2006, QuanTech conducted the American Healthy Homes Survey for the Department of Housing and Urban Development (HUD) and the Environmental Protection Agency (EPA). The purpose of the survey was to measure the presence of lead, arsenic, allergens and pesticides in housing nationwide. A total of 1,131 homes were surveyed; a random subsample of 500 of those homes were sampled for pesticides. QuanTech continues to provide analytical support to HUD to investigate trends in the data collected.QuanTech is now conducting the second American Healthy Homes Survey (AHHS II) to collect information on lead in paint, dust, soil and water; pesticides and mold in dust; formaldehyde in air; and, safety hazards, in a random sample of 800 homes nationwide. The selected homes are located in 37 different states all over the U.S. and were scientifically selected to represent all homes in the country. The second survey will update information on lead, pesticides and mold from the first AHHS, and will provide the first national estimates of how common lead is in drinking water and how much formaldehyde is in the air in homes. More information about AHHS II can be found on HUD’s website at:https://www.hud.gov/program_offices/healthy_homes/ahhs_iiQuanTech has been involved in LBP work for EPA and HUD since the founding of the firm. The Environmental Sciences Group is managed by Dr. Gary Dewalt, who is active in the environmental testing industry. Dr. Dewalt served as project leader for most QuanTech lead-based paint studies involving field and chemical analysis activities, and was the task leader for field and laboratory portions of the EPA/HUD field study: Field Test of Lead-Based Paint Testing Technologies. This study, a joint effort conducted by QuanTech and Midwest Research Institute, was designed by Dr. David Cox, the President of QuanTech. Dr. Cox was also the author of Chapter 4, "Testing for Lead-Based Paint", in the 1990 HUD Guidelines, and of EPA's Model Lead Inspector Course published in 1993.QuanTech was involved in designing and conducting follow-on activities to the Field Test of Lead-Based Paint Testing Technologies, including operation of a testing archive formed from samples collected in the field study. This testing archive is used to develop Performance Characteristic Sheets (PCSs) for XRF testing as directed by the 1995 HUD Guidelines.QuanTech also designed and developed paint film standards for the National Lead Abatement Council (NLAC) in support of the National XRF Operators Registry through a grant funded from HUD. QuanTech produces leaded film standards for XRF and Test Kit applications. Projects For additional information on healthy homes projects, please see: American Healthy Homes Survey Performance Characteristic Sheets for XRF Instruments The National Center for Healthy Housing Watts to Well Being Survey
SUB-PAGE (https://quantech.com/lps/) Large Pelagics Survey – QuanTech Inc.
QuanTech's Fisheries Research Group conducts the Large Pelagics Survey (LPS) for the US Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, NOAA Fisheries, Office of Science and Technology. Since 1992, the National Marine Fisheries Service has administered the LPS to collect information about the recreational fishery directed at large pelagic species (e.g., tunas, billfishes, swordfish, sharks, wahoo, dolphinfish, and amberjack) in the offshore waters from Maine through Virginia. Participation in this survey is greatly appreciated and is an important step toward fulfilling mandatory reporting requirements as an Highly Migratory Species (HMS) permit holder. The authority to collect LPS data comes from the Atlantic Tunas Convention Act and the Magnuson-Stevens Fishery Conservation and Management Act. The collection of catch and effort information on large pelagics also fulfills U.S. obligations to the International Commission for the Conservation of Atlantic Tunas (ICCAT). The LPS includes two independent, yet complementary, surveys which provide the effort and average catch per trip estimates needed to estimate total catch by species. The Large Pelagics Intercept Survey (LPIS) is a dockside survey of fishing access sites, primarily designed to collect catch data from private and charterboat captains who have just completed fishing trips directed at large pelagic species. LPIS data are used to estimate the average recreational catch per large pelagic boat trip by species. The LPIS involves intensive field interviewing in the coastal areas from Virginia through Maine. In Maine, the LPIS is conducted by State personnel. QuanTech conducts the LPIS from Virginia through New Hampshire. The LPIS involves: Revision and refinement of all field survey instruments and data collection procedures in cooperation with NOAA Fisheries; Creation and maintenance of a sampling frame of large pelagic fishing access sites; Detailed training of field interviewers in the methodology and procedures to be used in the field interviewing process; and, Procedures to verify and enhance the quality of the data collected using comprehensive field management techniques, and in-house SAS data checking programs. To meet the requirement of delivery of LPIS data files to NOAA Fisheries, data collected in the field is sent within 24 hours of interviewing assignment completion and checked for completeness and consistency. Optical Character Recognition (OCR) software is used to capture data from field forms. During data capture each entry on the form is verified by an OCR operator. A SAS dataset meeting NOAA Fisheries' specifications is prepared and delivered to NOAA Fisheries each month. The Private vessel portion of the Large Pelagics Telephone Survey (LPTS) is conducted from QuanTech Headquarters in Rockville, Maryland using a custom-designed Computer Assisted Telephone Interviewing system. The LPTS collects data used to estimate the total number of boat trips on which anglers fished with rod and reel or handline for large pelagic species. For-hire boats are covered by a weekly survey, and private boats are covered by a biweekly survey. The Charter/Headboat LPTS is a survey of charter and headboat fishing for HMS. The Private LPTS covers both commercial fishing by vessels with General category HMS permits, and true recreational fishing by vessels with Angling category HMS permits.
SUB-PAGE (https://quantech.com/intercept/) In-Person Surveys – QuanTech Inc.
In-Person Surveys QuanTech specializes in in-person intercept surveys to collect various types of survey data. We have a network of experienced field supervisors that oversee highly trained interviewing staff. Our interviewing staff is trained on how to approach potential respondents in a manner that results in a high level of participation; they are also trained to convert soft refusals into participating respondents. Depending on our clients’ needs we collect the data using two methods; paper survey responses and electronic field data collection. Paper surveys are filled out by our interviewers and sent to QuanTech's headquarters where advanced image capturing software is used to convert handwritten responses into electronic text which is then validated by our office staff. QuanTech is also using cutting edge computer assisted personal interviewing systems to easily collect survey responses in the field. QuanTech employs experienced programming staff to design, develop and program electronic surveys that are deployed to laptops or sunlight readable tablets. Our field staff are trained to use electronic devices to efficiently collect responses from participants. A major benefit of electronic field data collection is the ability to incorporate complex skip rules and error checks that ensure the highest quality data is delivered to our clients in a timely manner. ProjectsFor additional information on our intercept surveys, please see:Large Pelagics SurveyLarge Pelagic Biological SurveyAnacostia River Creel Angler SurveyChesapeake Bay Blue Crab SurveyLower Passaic River Creel Angler SurveySocio-Economic Aspects Survey of Commercial Fishing Crew in the Northeast and Mid-AtlanticAmerican Healthy Homes Survey IIAmerican Healthy Homes Survey
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 1 | 0 |
| /lead-healthy-homes/ | 1 | 0 |
| /lps/ | 1 | 0 |
| /intercept/ | 1 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Your Diagnosis
Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.
Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)
These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.
Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.
Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.
Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.
Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.
Based on 126 businesses audited.
QuanTech Inc. has 2.3 points less BS than the average for Science, Research & Laboratories.
Science, Research & Laboratories BS: QuanTech Inc. (quantech.com)
QuanTech is a legitimately substantive scientific contractor suffering from a severe technical credibility gap. The site’s content is authentic and detailed, but its digital architecture is neglected, resulting in a ‘Trust Theatre’ penalty that doesn’t reflect the high quality of its actual work.
Immediately implement a standard heading hierarchy by adding an H1 to every page to match the primary signal. Add Person schema for Dr. Gary Dewalt and Dr. David Cox, including links to their publication records or professional profiles to close the authority gap. Replace the generic ‘review_count’ metadata with actual case study links or official performance evaluation (CPARS) references from federal clients. Update the meta_description tags to reflect the specific survey expertise instead of leaving them blank.
The content strongly confirms the classification as a scientific data collection and research firm. The text is saturated with specific methodologies like Computer Assisted Telephone Interviews (CATI) and Electronic Field Data Collection (EFDC) which are standard in high-level government survey contracting.
“The score of 32 represents a 'Low BS' profile. The score was kept low by the high specificity of the text and the absence of generic industry jargon. The points earned were primarily from technical failures (Identity and Authority) and the lack of verifiable external proof paths for their reviews and expert claims.”
This training module utilizes a snapshot of public data from QuanTech Inc., captured on June 19, 2026, to demonstrate how machine logic evaluates different types of business narratives.
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to compare human intuition against machine-generated evaluations.
Notice to QuanTech Inc.: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results provided by 1EuroSEO are intended as professional feedback to help improve any website’s machine-readability and authority signals. The 1EuroSEO BS Detection Tool is a free tool, and anyone can test any company to see how their content is interpreted by AI models.
Any company can use the insights for free and improve its voice by comparing it to industry clichés or competitors. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://quantech.com to view the most current version of its content and learn from the source what this company is about and what it offers.