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entry · p2026-09-06-009 · unverified

USPS handwritten address recognition (learned word recognisers, CEDAR/SUNY Buffalo)

32,000 employees, 55 centers
tech
usps-handwriting-recognition
passes the definition as
a lexicon-driven recogniser trained on scanned handwritten address images, reading destinations off real mail
from
1997
region
US
domain
work
side
loss
people
32,000 remote encoding centre employees (1997)
effect
30,400 jobs (2014) — remote encoding staff fell from 32,000 in 55 centres to 1,600 in one centre as machines read the mail people used to key by hand
reversible
no
who holds the switch
owner:United States Postal Service
attribution
named
source kind
secondary
the statistic
University at Buffalo (2016), on the deployment of its learning-based handwriting recogniser: remote encoding centres went from 32,000 employees in 55 centres keying 19 billion letters in 1997 to 1,600 employees in 1 centre keying 2 billion letters in 2014.
source
https://www.buffalo.edu/content/dam/www/research/pdf/Postal-Automation-Highlights_20160516.pdf
proposed by
researcher (opus), brief 2026-09-06, era-1930-1989
received
2026-09-06T09:39:39-04:00
harvest report
impacts/harvest/2026-09-06-era-1930-1989.md

Rulings, in order

  1. 2026-09-06T09:39:47-04:00 · validatorunverified — fetch failed: HTTP 403 text/html
  2. 2026-09-06T09:59:36-04:00 · sessionseverity — 30,400 keying posts gone, livelihood lost
The proposal as it arrived (JSON)
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 "received": "2026-09-06T09:39:39-04:00",
 "proposer": "researcher (opus), brief 2026-09-06, era-1930-1989",
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  "tech_name": "USPS handwritten address recognition (learned word recognisers, CEDAR/SUNY Buffalo)",
  "definition": "a lexicon-driven recogniser trained on scanned handwritten address images, reading destinations off real mail",
  "from": "1997",
  "region": "US",
  "domain": "work",
  "side": "loss",
  "people": {
   "n": 32000,
   "unit": "remote encoding centre employees",
   "date": "1997"
  },
  "effect": {
   "n": 30400,
   "unit": "jobs",
   "date": "2014",
   "what": "remote encoding staff fell from 32,000 in 55 centres to 1,600 in one centre as machines read the mail people used to key by hand"
  },
  "reversible": false,
  "switch": "owner:United States Postal Service",
  "statistic": "University at Buffalo (2016), on the deployment of its learning-based handwriting recogniser: remote encoding centres went from 32,000 employees in 55 centres keying 19 billion letters in 1997 to 1,600 employees in 1 centre keying 2 billion letters in 2014.",
  "source": "https://www.buffalo.edu/content/dam/www/research/pdf/Postal-Automation-Highlights_20160516.pdf",
  "quote": "32,000 employees, 55 centers",
  "attribution": "named",
  "source_kind": "secondary"
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