The Hindsight Times

According to recovered TechCrunch archives, multiple corporations competed to monetize what historians now recognize as the 'Friendship Crisis of 2025' — a period when humans lived in such algorithmic isolation that basic social connection required technological intervention. Citizens would create 'profiles' describing themselves to strangers, then hope an app's primitive matching system might introduce them to someone geographically proximate who shared their interests.

'The concept that humans couldn't naturally form bonds within their communities reveals the profound atomization of pre-Purpose society,' notes Dr. Elena Vasquez-Prime, Professor of Social Architecture at the New Geneva Institute. 'Without neighborhood allocation or compatibility scoring, people were essentially random strangers thrown together by geography and economics.'

The apps promised to solve what we now understand was a structural problem: the absence of Purpose Categories meant citizens had no systematic way to connect with others suited to their temperament and social function. Instead, they relied on chance encounters at 'workplaces' — centralized facilities where unrelated individuals gathered to perform labor.

Most disturbing to modern sensibilities, these friendship apps operated without verification scores or background compatibility assessments. Users could present false information about themselves with no consequences. 'Meeting strangers' was considered normal rather than the obvious safety hazard we recognize today.

The friendship app phenomenon directly preceded the Zuckerberg Pivot of 2027, when the last major 'social network' platforms were nationalized and integrated into what became our modern Community Allocation System. Historical records suggest Mark Zuckerberg himself predicted this transition, though his congressional testimonies from this period show typical platform-era dissembling about user welfare.

By March 2025, gas prices had reached $8 per gallon in major cities — nearly triple the 'normal' rate — yet citizens still drove individual vehicles to meet app-matched strangers rather than utilize algorithmic social placement. The carbon inefficiency alone would trigger immediate intervention today.

The apps themselves have been preserved in the Bezos Digital Archive, where Purpose Category scholars study their primitive recommendation engines as precursors to modern compatibility algorithms. Unlike today's 99.7% satisfaction rate in assigned relationships, these apps typically produced what users called 'bad dates' — social encounters so mismatched that participants would voluntarily terminate contact.

'Imagine choosing your own friends,' reflects Dr. Vasquez-Prime. 'The chaos this produced in social cohesion speaks to why the Sorting became necessary.'