: The title comes from a internal classification used by the company Pretium Partners . The algorithm flagged ZIP codes as "Mostly Balanced" if they had a specific mix of racial demographics and income levels that the company deemed "safe" or "profitable" for investment.
: The investigation suggests that by using these digital filters, the company effectively automated a modern form of redlining. The algorithm steered investments toward certain neighborhoods while systematically avoiding others based on racial data disguised as "market stability" metrics. Mostly Balanced.zip
: The report details how this high-speed, tech-driven buying strategy allowed corporate entities to outbid individual families, particularly in diversifying suburban areas, thereby locking many middle-class and minority families out of homeownership. : The title comes from a internal classification
The article explores how a specific real estate algorithm—used by major corporate landlords—categorized neighborhoods to determine where to buy single-family homes. Here are the key takeaways: Here are the key takeaways: : In the
: In the article, Pretium Partners defended its practices, stating that their models are designed to identify healthy rental markets and that they comply with all fair housing laws.
The phrase refers to a significant long-form investigative article published by ProPublica on October 25, 2024 .