Addressing Real Estate Market Fraud and Systemic Market Manipulation
in the Single Family Home Market from 2020 to 2025

The years 2020–2025 marked one of the most aggressive and disruptive periods in the history of the U.S. single-family home market. Prices rose at unprecedented rates – and in a statistically implausible manner, property tax valuations spiked, and millions of families were priced out of homeownership — not because of natural market forces, but because of structural manipulation that pushed valuations far beyond economic reality.

And a single irregular statistical methodology – buyer cohort aggregation that commingled traditional and institutional buyers into a single reporting entity –  is mostly responsible for this situation. This statistical error created the meteoric rise in the single family home market, driving home prices to astronomical rates, along with property taxes and insurance premiums, and disproportionately harmed the elder population.

A 10-page letter that I wrote, in March 2025,  to my County Board of Commissioners, detailing how the 2020 to 2025 real estate market valuations were riddled with systemic fraud and market manipulation and could not be used to justify a huge increase in property taxes is included in the case study. That letter was also sent to state and federal agencies 1 year ago – with no reply. They knew – and did nothing.

As a systems analyst, economist, business and technology expert, former paralegal, and long-time researcher, I began investigating the source of these distortions after receiving repeated above-market purchase offers for my own home, beginning in late 2020, and witnessing the escalating financial pressure on homeowners across the country.  And in the documents presented here, I show how coordinated financial mechanisms, automated valuation practices, and institutional market activity combined to inflate home prices, distort property tax assessments, and impose disproportionate harm on homeowners—particularly seniors and fixed-income households.

This work is presented from the standpoint of an independent systems analyst and directly impacted homeowner, with no financial or institutional conflicts of interest. The findings are based on observable data patterns, market behavior analysis, and public record valuation outcomes.

Importantly, this issue is not new. A formal warning letter outlining the core pricing anomalies, public harm, and downstream risks was submitted to state officials over one year ago, establishing a clear timeline of notice, inaction, and continued harm.

Core Research Documents Available

Case Study:  Addressing Real Estate Market Fraud and Systemic Market Manipulation in the Single Family Home Market from 2020 to 2025
The case study provides a detailed, evidence-based analysis of how pricing anomalies emerged, propagated, and normalized, despite being statistically inconsistent with organic supply-and-demand behavior. It documents:

• The aggregation problem created by institutional participation
• The feedback loop between pricing models, tax assessments, and insurance
• The resulting financial harm to homeowners, including indicators of systemic elder financial abuse
• Methodology section detailing my research methods used to arrive at this conclusion

Abstract 1: Buyer Segmentation Principle for Residential Real Estate Valuation
This abstract distills the core finding from March 2025 that the statistically invalid method of aggregating distinct buyer cohorts – traditional home buyers and institutional investors – is the major factor in driving excessive home valuations since 2020. This was not due to natural market appreciation. It was due to a violation of basic statistical reporting methodology.

Abstract 2:  “The Triple Threat: Downstream Consequences of Buyer Cohort Aggregation in Real Estate Market Reporting“
This Abstract examines the downstream consequences of buyer cohort aggregation in real estate market reporting during the 2020–2025 period, to include public finance, household financial stability, and vulnerable populations.

Abstract 3: Policy-Neutral Framework for Real Estate Market Correction and Public Harm Mitigation
This Abstract proposes a 4 step corrective approach to restore the single family home market valuation to correct and statistically defensible levels and assist homeowners restore financial integrity by removing excessive and onerous tax and insurance premium costs in the immediate term

Homeowner’s Guide:  This Guide provides a suggested framework and methodology to challenge property taxes and insurance premiums that have been based on the commingling of buyer cohorts – aggregating traditional home buyers and institutional buyers –  which has resulted in the reporting and distribution of statistically invalid market values since 2020. 

My goal is simple: to bring transparency to a system that has harmed millions, to provide the public with information they were never given, and to support informed action toward restoring fairness, affordability, and integrity to the single-family home market pricing and reporting.

Click the buttons below to view, read, and download these studies.

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Copyright (C)2026 by Jennifer Hoffman. All Rights Reserved. Unauthorized use, distribution, or sharing is strictly prohibited.

The Three-Tier Property Tax Stabilization Framework establishes differentiated taxation treatment based on occupancy classification and ownership duration. It is not a rate cap, freeze, or temporary exemption model. It is a structural reclassification approach designed to align tax burden with market impact and housing market participation. While it addresses an issue in North Carolina, this situation is represented in every housing market in the US and this is a portable paradigm that could be adopted across the US.

Get  The Homeowner’s Guide to Challenge Current & Future Increases in Property Taxes & Insurance Premiums by clicking the button.
It is free for individual use and to share with people who are also experiencing the effects of high property taxes and homeowner’s insurance rates.  Its contents are protected by copyright and there is a copyright statement and use restriction in the Guide.

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