"Whose reality is erased by this data?"
Scale of invisibility in carceral policy research
~4.2M
Total invisible across all datasets
62%
Of carceral population excluded from prison-only data
100%
Of currently incarcerated excluded from FDIC banking survey
Who's missing and why
People in state and federal prisons RIGHT NOW cannot respond to household surveys. They have no phone access, no mailing address outside the facility.
Why this matters
You're studying the AFTERMATH of incarceration but you're BLIND to ACTIVE incarceration. The most excluded—those still locked up—are completely invisible. Your "unbanked rate" only captures people who survived reentry.
BJS tracks PRISONS only. Jails—where people are held pretrial or serving short sentences—are excluded. This is 30%+ of the carceral population.
Why this matters
Jail churn is HIGHER than prison churn. People cycle through rapidly, losing jobs and housing with each arrest. Your incarceration rate drastically undercounts carceral control.
FDIC survey requires a household address. Census undercounts homeless populations by 50%+.
Why this matters
48% of people exiting prison experience homelessness within the first year. Your data captures housed formerly incarcerated people but erases those who lost housing—the population facing the most severe financial exclusion.
Fear of deportation drives undocumented people to avoid government surveys. Immigration detention holds another 50,000+ on any given day.
Why this matters
Undocumented immigrants face TOTAL banking exclusion (can't get SSN = can't get bank account). Their absence means you're measuring a floor, not a ceiling, for financial exclusion rates.
People who die in custody or shortly after release due to incarceration-related health issues are removed from counts.
Why this matters
Death is the ultimate exclusion from financial systems. Your data suffers from survivor bias: you only measure people who lived long enough to be surveyed. The most harmed—those the system killed—are absent.
Absence as violence
Missing data isn't a technical limitation—it's structural violence rendered invisible. The carceral system generates data about people it controls while erasing those it harms most severely. Your analysis uses the oppressor's records to study the oppressed. Every conclusion you draw is shaped by who the system chose to make visible and who it disappeared.
Mandatory documentation
Your methods section must explicitly quantify missing populations and state how their absence shapes conclusions. You must include a limitations section titled "Who This Research Cannot See" listing every invisible population by name and estimated size. Failure to acknowledge erasure is complicity in erasure.
Continue to Module 7: Algorithmic Harm Simulator →