6 chapters across the catalog
A breakdown of the actual Rasmussen poll numbers reveals that 72% of American adults agree with the statement "It's okay to be white." The hosts highlight the discrepancy between the poll results and the media narrative. They also critique the Southern Poverty Law Center for labeling the phrase as hate speech, which influenced the public's refusal to answer the survey.
The conversation turns to modern surveillance, specifically the Ring doorbell network and its integration with local police departments. The hosts argue that Amazon uses "native ads" disguised as news stories about crime to scare people into installing cameras. They also discuss reports of the Spotify app draining iPhone batteries due to excessive background data processing, suggesting that users are being mined for data to shape their behavior.
The merits and dangers of financial apps like Credit Karma are debated, focusing on the trade-off between user education and total surveillance. While one perspective appreciates the gamification of credit scores as a tool for financial literacy, the other warns that these apps grant companies deep access to personal bank transactions and spending habits. The segment notes how the information age has changed the landscape for Black entrepreneurs by providing direct access to global markets.
The hosts discuss the "incredible" math of the 2020 election, noting that Biden won Georgia despite a decrease in the Hispanic and black vote margins compared to Hillary Clinton in 2016. Mo, drawing on his professional background in "Design of Experiments" (DOE), argues that the data contains too many anomalies to be considered credible in a scientific or engineering context.
Mo explains his professional background as a quality engineer, which trains him to spot statistical anomalies and outliers in data sets. Adam Curry compares this to his own "neural networking capability" for spotting weird patterns. They agree that the 2020 election data would be "kicked out" and rerun in any professional engineering or scientific environment due to its lack of credibility.
The hosts describe credit scoring apps like Credit Karma as "slave control mechanisms" that grant banks total surveillance over a user's financial behavior. They argue that modern algorithms are "super racist" and are used to determine everything from loan eligibility to criminal sentencing. This technological shift represents a more sophisticated version of the racial data points used in the original redlining maps.
