: 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 phrase refers to a significant long-form investigative article published by ProPublica on October 25, 2024 . : 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: : The report
: 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.
: 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.