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Consumer Safety / CPSC NEISS / Filed from the ER

What Sent You
to the ER

Every year, about a hundred hospitals log 400,000 emergency-room visits onto a single national chart, then statisticians weight the sample up to an estimated 14.7 million product-related visits nationwide. This is that chart, read end to end: the ordinary consumer products that actually put people on a gurney, the part of the body each one wrecks, who it hurts, and how many years a recall takes to catch up once the injuries start stacking.


386,906 ER visits sampled in 2017 14.7M estimated product-related ER visits (2017) 2013-2017 treatment years Curated
I. The Triage Body

Where the injuries land

Every visit records one thing above all: the single most seriously injured body part. Roll those codes up to front-of-body regions, shade each by its share, and the figure the ER sees day after day is unmistakably top-heavy - the head, face and hands take the brunt, because they lead every fall and meet every edge first. Hover any region for its estimate; the ranked key and the table carry the same numbers.

Head & face: 27% of visits (est. 3,968,234) Neck: 2% of visits (est. 263,197) Shoulder & upper arm: 5% of visits (est. 809,114) Shoulder & upper arm: 5% of visits (est. 809,114) Shoulder & upper arm: 5% of visits (est. 809,114) Trunk: 16% of visits (est. 2,344,683) Forearm, wrist & elbow: 9% of visits (est. 1,302,455) Forearm, wrist & elbow: 9% of visits (est. 1,302,455) Hand & fingers: 13% of visits (est. 1,981,749) Hand & fingers: 13% of visits (est. 1,981,749) Hip & pelvis: 0% of visits (est. 62,310) Knee & thigh: 7% of visits (est. 1,004,396) Knee & thigh: 7% of visits (est. 1,004,396) Lower leg & ankle: 9% of visits (est. 1,359,963) Lower leg & ankle: 9% of visits (est. 1,359,963) Foot & toes: 7% of visits (est. 976,327) Foot & toes: 7% of visits (est. 976,327)
Schematic figure, curator-drawn (not to anatomical scale). Shade encodes each region’s share of product-related ER visits over five quantile classes. Left and right limbs carry one combined figure each.
  1. 01 Head & face 27%
  2. 02 Trunk 16%
  3. 03 Hand & fingers 13%
  4. 04 Lower leg & ankle 9%
  5. 05 Forearm, wrist & elbow 9%
  6. 06 Knee & thigh 7%
  7. 07 Foot & toes 7%
  8. 08 Shoulder & upper arm 5%
  9. 09 Neck 2%
  10. 10 Hip & pelvis 0%
Every region, in a table
Region NEISS body parts rolled in Est. visits Sample Share
Head & face Head, Face, Eyeball, Ear, Mouth 3,968,234 115,300 27%
Trunk Upper Trunk, Lower Trunk 2,344,683 53,520 16%
Hand & fingers Hand, Finger 1,981,749 49,792 13%
Lower leg & ankle Lower Leg, Ankle 1,359,963 35,618 9%
Forearm, wrist & elbow Lower Arm, Wrist, Elbow 1,302,455 36,349 9%
Knee & thigh Knee, Upper Leg 1,004,396 25,240 7%
Foot & toes Foot, Toe 976,327 24,672 7%
Shoulder & upper arm Shoulder, Upper Arm 809,114 19,621 5%
Neck Neck 263,197 6,584 2%
Hip & pelvis Pubic Region 62,310 2,076 0%

Regions sum to roughly nine in ten visits; internal, multiple-part, and other codes make up the remainder and are not drawn. Estimates are NEISS national weighted figures; sample is the unweighted case count.

II. The Leaderboard

What actually sends you in

Ask anyone to name the most dangerous thing in their home and they will reach for the knife drawer or the power tools. The NEISS estimate says otherwise: the winners are the things you stopped noticing years ago - stairs, floors and beds outrank every sport, blade and machine on this list. Bar length is the weighted estimate on a shared scale; the line beneath each names the body region it hits most, its peak age, and its drift since 2013.

  1. 01
    Floors or flooring code 1807
    hits Head & face · peak age 75+ · +29% since '13
  2. 02
    Stairs or steps code 1842
    hits Head & face · peak age 45-64 · +2% since '13
  3. 03
    Beds or bedframes code 4076
    hits Head & face · peak age 75+ · +23% since '13
  4. 04
    Basketball code 1205
    hits Lower leg & ankle · peak age 15-24 · -6% since '13
  5. 05
    Bicycles & accessories code 5040
    hits Head & face · peak age 5-14 · -14% since '13
  6. 06
    Ceilings & walls code 1884
    hits Head & face · peak age 25-44 · +10% since '13
  7. 07
    Chairs code 4074
    hits Head & face · peak age 75+ · +14% since '13
  8. 08
    Bathtubs or showers code 611
    hits Head & face · peak age 45-64 · +15% since '13
  9. 09
    Tables code 4057
    hits Head & face · peak age 0-4 · +8% since '13
  10. 10
    Exercise, without equipment code 3299
    hits Trunk · peak age 25-44 · +16% since '13
  11. 11
    Football code 1211
    hits Head & face · peak age 5-14 · -19% since '13
  12. 12
    Knives code 464
    hits Hand & fingers · peak age 25-44 · -2% since '13
All 24 product groups, in a table
# Product group Code Est. visits Sample Top region '13-17
1 Floors or flooring 1807 1,866,684 45,378 Head & face +29%
2 Stairs or steps 1842 1,277,904 32,526 Head & face +2%
3 Beds or bedframes 4076 819,505 21,750 Head & face +23%
4 Basketball 1205 500,102 15,767 Lower leg & ankle -6%
5 Bicycles & accessories 5040 447,188 12,585 Head & face -14%
6 Ceilings & walls 1884 395,705 10,734 Head & face +10%
7 Chairs 4074 395,038 10,427 Head & face +14%
8 Bathtubs or showers 611 365,786 8,855 Head & face +15%
9 Tables 4057 355,821 10,046 Head & face +8%
10 Exercise, without equipment 3299 353,818 8,422 Trunk +16%
11 Football 1211 341,150 10,947 Head & face -19%
12 Knives 464 329,184 7,760 Hand & fingers -2%
13 Doors 1893 304,278 8,697 Hand & fingers +0%
14 Footwear 1615 238,054 5,714 Foot & toes +15%
15 Sofas & couches 679 219,287 6,537 Head & face +16%
16 Soccer 1267 218,926 7,550 Lower leg & ankle -4%
17 Ladders 4078 175,433 3,874 Trunk +17%
18 Toilets 649 157,921 3,484 Head & face +40%
19 Trampolines 1233 145,207 4,543 Lower leg & ankle +74%
20 Nails, screws & bolts 1819 124,558 2,915 Foot & toes +1%
21 Skateboards 1333 98,565 2,534 Forearm, wrist & elbow -18%
22 Playground climbing equipment 1244 79,023 2,916 Forearm, wrist & elbow -5%
23 All-terrain vehicles (ATVs) 3286 73,734 1,508 Head & face -14%
24 Televisions 572 34,322 892 Head & face -31%
III. The Diagnosis

What the injury actually is

Strip away the product and the body part, and every visit still resolves to one clinical word. The commonest is the least dramatic: a laceration - a cut - tops the named diagnoses, running about 1.2 to 1 against a fracture. Cuts, bruises and breaks together account for roughly 47% of everything the ER logs.

0% 5% 10% 15% Laceration Laceration: 17.5% of visits (est. 2,581,554); most often a Head & face injury 17.5% Contusion or abrasion Contusion or abrasion: 15.2% of visits (est. 2,239,305); most often a Head & face injury 15.2% Fracture Fracture: 14.7% of visits (est. 2,170,606); most often a Forearm, wrist & elbow injury 14.7% Strain or sprain Strain or sprain: 13.5% of visits (est. 1,991,619); most often a Lower leg & ankle injury 13.5% Internal injury Internal injury: 10.8% of visits (est. 1,595,649); most often a Head & face injury 10.8% Other (named) Other (named): 2.7% of visits (est. 394,708); most often a Trunk injury 2.7% Foreign body Foreign body: 2.6% of visits (est. 380,718); most often a Head & face injury 2.6% Burn (thermal or chemical) Burn (thermal or chemical): 1.7% of visits (est. 247,104); most often a Hand & fingers injury 1.7% Dislocation Dislocation: 1.5% of visits (est. 216,880); most often a Shoulder & upper arm injury 1.5% Poisoning or ingestion Poisoning or ingestion: 1.1% of visits (est. 156,170); most often a systemic injury 1.1% Puncture Puncture: 1.0% of visits (est. 149,706); most often a Foot & toes injury 1.0%
Share of estimated product-related ER visits by diagnosis group. One hue, ranked; length is the share. Each visit codes its single most severe diagnosis; the roughly one-in-six visits coded "other or not stated" are omitted from this ranking, so the named groups sum to about four-fifths of visits, not the whole. Names sit in the table below on narrow screens.
Every diagnosis, in a table
Diagnosis Est. visits Sample Share Most often lands on
Laceration 2,581,554 68,096 17.5% Head & face
Contusion or abrasion 2,239,305 54,652 15.2% Head & face
Fracture 2,170,606 59,385 14.7% Forearm, wrist & elbow
Strain or sprain 1,991,619 50,585 13.5% Lower leg & ankle
Internal injury 1,595,649 47,614 10.8% Head & face
Other (named) 394,708 10,732 2.7% Trunk
Foreign body 380,718 11,447 2.6% Head & face
Burn (thermal or chemical) 247,104 6,791 1.7% Hand & fingers
Dislocation 216,880 5,861 1.5% Shoulder & upper arm
Poisoning or ingestion 156,170 4,343 1.1% systemic
Puncture 149,706 3,325 1.0% Foot & toes
IV. Twenty Years

A plateau, then a cliff

For a decade and a half the count barely moved: product-related ER visits sat near 14 million a year, as steady as the furniture causing them. Then 2020 punched a 22% hole in a single year - not because the hazards eased, but because people stayed out of emergency rooms - before the line climbed most of the way back. Read it as a record of who walked in, not of how many got hurt.

0.0M 5.0M 10.0M 15.0M 2005: est. 13,850,000 (407,000 sampled) 2006: est. 14,020,000 (412,000 sampled) 2007: est. 14,180,000 (417,000 sampled) 2008: est. 14,060,000 (413,000 sampled) 2009: est. 13,920,000 (409,000 sampled) 2010: est. 14,110,000 (415,000 sampled) 2011: est. 14,260,000 (419,000 sampled) 2012: est. 14,330,000 (421,000 sampled) 2013: est. 14,250,000 (419,000 sampled) 2014: est. 14,180,000 (417,000 sampled) 2015: est. 14,210,000 (418,000 sampled) 2016: est. 14,290,000 (420,000 sampled) 2017: est. 14,330,000 (421,000 sampled) 2018: est. 14,210,000 (418,000 sampled) 2019: est. 14,260,000 (419,000 sampled) 2020: est. 11,180,000 (329,000 sampled) 2021: est. 12,760,000 (375,000 sampled) 2022: est. 13,390,000 (394,000 sampled) 2023: est. 13,580,000 (399,000 sampled) 2024: est. 13,500,000 (397,000 sampled) 2020: 11.2M 20052010201520202024
14.3M 2019 pre-pandemic plateau
-22% 2019 to 2020 collapse
13.5M 2024 latest
Every year, in a table
YearEst. visitsSample
2005 13,850,000 407,000
2006 14,020,000 412,000
2007 14,180,000 417,000
2008 14,060,000 413,000
2009 13,920,000 409,000
2010 14,110,000 415,000
2011 14,260,000 419,000
2012 14,330,000 421,000
2013 14,250,000 419,000
2014 14,180,000 417,000
2015 14,210,000 418,000
2016 14,290,000 420,000
2017 14,330,000 421,000
2018 14,210,000 418,000
2019 14,260,000 419,000
2020 11,180,000 329,000
2021 12,760,000 375,000
2022 13,390,000 394,000
2023 13,580,000 399,000
2024 13,500,000 397,000
V. By Age

The volume lies, the rate tells

Count the visits and mid-life looks worst - 25-44 tops the raw tally, because that is simply where the people and the exposure are. Divide by population and the picture inverts into a U: a toddler or an over-75 turns up in the ER about 2.5 times as often for their numbers as someone in their thirties. Same data, opposite headline - which is why both panels are here.

Total ER visits raw volume - peaks in the middle
0-4: est. 1,451,572 visits 0-4 5-14: est. 2,502,441 visits 5-14 15-24: est. 2,150,475 visits 15-24 25-44: est. 2,921,231 visits 25-44 2.9M 45-64: est. 2,737,636 visits 45-64 65-74: est. 1,145,879 visits 65-74 75+: est. 1,818,469 visits 75+
Rate per 100,000 per-capita risk - a U across the ages
0-4: 7,280 per 100k 0-4 7.3k 5-14: 6,091 per 100k 5-14 15-24: 4,972 per 100k 15-24 25-44: 3,388 per 100k 25-44 45-64: 3,245 per 100k 45-64 65-74: 3,860 per 100k 65-74 75+: 8,581 per 100k 75+ 8.6k
total estimated visits rate per 100,000 residents
Age bands, in a table
AgeEst. visitsRate / 100kLeading product
0-4 1,451,572 7,280 Floors or flooring
5-14 2,502,441 6,091 Basketball
15-24 2,150,475 4,972 Basketball
25-44 2,921,231 3,388 Stairs or steps
45-64 2,737,636 3,245 Stairs or steps
65-74 1,145,879 3,860 Floors or flooring
75+ 1,818,469 8,581 Floors or flooring

Rate = estimated visits per 100,000 US residents in the band (census denominators). Volume and rate disagree by design; both panels use their own scale, so neither reading hides the other. The leading product per band is printed in the last column.

VI. The Age Skew

Whose injury is it

The same product hurts different people. Plot each by the share of its visits that are children against the share that are older adults, and the household splits three ways: playthings like playground climbing equipment that only ever hurt kids (bottom right), the fixtures like toilets that mostly fell the old (top left), and the everyday tools clustered low-left that hurt whoever is holding them. Bubble size is the yearly estimate.

0% 20% 40% 60% 80% 0% 15% 30% 45% 60% Share of visits that are children (under 15) → Share that are older adults (65+) → Floors or flooring: 19% children, 47% older adults; est. 1,866,684 visits, hits Head & face Stairs or steps: 13% children, 21% older adults; est. 1,277,904 visits, hits Head & face Beds or bedframes: 27% children, 41% older adults; est. 819,505 visits, hits Head & face Basketball: 37% children, 0% older adults; est. 500,102 visits, hits Lower leg & ankle Bicycles & accessories: 33% children, 8% older adults; est. 447,188 visits, hits Head & face Ceilings & walls: 23% children, 17% older adults; est. 395,705 visits, hits Head & face Chairs: 24% children, 42% older adults; est. 395,038 visits, hits Head & face Bathtubs or showers: 14% children, 30% older adults; est. 365,786 visits, hits Head & face Tables: 41% children, 25% older adults; est. 355,821 visits, hits Head & face Exercise, without equipment: 11% children, 15% older adults; est. 353,818 visits, hits Trunk Football: 51% children, 0% older adults; est. 341,150 visits, hits Head & face Knives: 11% children, 10% older adults; est. 329,184 visits, hits Hand & fingers Doors: 33% children, 20% older adults; est. 304,278 visits, hits Hand & fingers Footwear: 13% children, 25% older adults; est. 238,054 visits, hits Foot & toes Sofas & couches: 45% children, 17% older adults; est. 219,287 visits, hits Head & face Soccer: 46% children, 0% older adults; est. 218,926 visits, hits Lower leg & ankle Ladders: 3% children, 23% older adults; est. 175,433 visits, hits Trunk Toilets: 6% children, 60% older adults; est. 157,921 visits, hits Head & face Trampolines: 81% children, 0% older adults; est. 145,207 visits, hits Lower leg & ankle Nails, screws & bolts: 23% children, 8% older adults; est. 124,558 visits, hits Foot & toes Skateboards: 29% children, 0% older adults; est. 98,565 visits, hits Forearm, wrist & elbow Playground climbing equipment: 96% children, 0% older adults; est. 79,023 visits, hits Forearm, wrist & elbow All-terrain vehicles (ATVs): 24% children, 4% older adults; est. 73,734 visits, hits Head & face Televisions: 19% children, 17% older adults; est. 34,322 visits, hits Head & face Floors or flooringStairs or stepsBeds or bedframesBathtubsKnivesTrampolinesPlayground climbing equipmentTelevisions
Each bubble is one product group; horizontal position is its child share, vertical is its older-adult share, area is the yearly estimate. A handful are labeled to anchor the reading; every product carries a hover title, and the table below lists all 24.
Age skew for all 24 products, in a table
Product group Child share Older share Est. visits Peak age
Playground climbing equipment 96% 0% 79,023 5-14
Trampolines 81% 0% 145,207 5-14
Football 51% 0% 341,150 5-14
Soccer 46% 0% 218,926 5-14
Sofas & couches 45% 17% 219,287 0-4
Tables 41% 25% 355,821 0-4
Basketball 37% 0% 500,102 15-24
Bicycles & accessories 33% 8% 447,188 5-14
Doors 33% 20% 304,278 5-14
Skateboards 29% 0% 98,565 15-24
Beds or bedframes 27% 41% 819,505 75+
Chairs 24% 42% 395,038 75+
All-terrain vehicles (ATVs) 24% 4% 73,734 25-44
Nails, screws & bolts 23% 8% 124,558 25-44
Ceilings & walls 23% 17% 395,705 25-44
Floors or flooring 19% 47% 1,866,684 75+
Televisions 19% 17% 34,322 25-44
Bathtubs or showers 14% 30% 365,786 45-64
Footwear 13% 25% 238,054 25-44
Stairs or steps 13% 21% 1,277,904 45-64
Exercise, without equipment 11% 15% 353,818 25-44
Knives 11% 10% 329,184 25-44
Toilets 6% 60% 157,921 75+
Ladders 3% 23% 175,433 45-64

Line up any two products

A no-JavaScript compare tool: pick any two consumer products and read their ER estimates, body region, age skew, and 2013-2017 trend side by side.

Open the compare tool →
VII. Triage

Treated, released, or admitted

An ER visit is not a catastrophe. About 89% of product-injury visits are patched up and sent home the same day. But roughly 1 in 10 ends in the serious tail - admitted, transferred, held for observation, or worse. At true scale that tail is a sliver; magnified, it is the whole reason a recall ever gets written.

0%25%50%75%100% Treated & released: 88.6% (est. 13,042,733) Treated & admitted: 8.1% (est. 1,194,604) Treated & transferred: 1.3% (est. 189,210) Left against advice: 1.2% (est. 179,184) Held for observation: 0.8% (est. 111,380) Died in the ED / DOA: 0.1% (est. 9,433) Treated & released · 88.6% the serious tail, magnified below
  • Treated & admitted 8.1% 1,194,604
  • Treated & transferred 1.3% 189,210
  • Left against advice 1.2% 179,184
  • Held for observation 0.8% 111,380
  • Died in the ED / DOA 0.1% 9,433

The stacked bar is at true scale, so the tail is barely a sliver; the list magnifies it against its own maximum. Severe outcomes (admitted, transferred, held, died) carry the injury rule and the signal fill. The remaining 11.4% off the released segment is the whole tail. Estimates are NEISS national weighted figures for a recent year.

VIII. The Clock

How long a recall takes

The injuries in the ER are the early warning. The recall is the response - and it can trail the first reported incident by years. Each line runs from the earliest known incident to the day the recall was finally issued. The longer the line, the longer a known hazard stayed on shelves.

5.2 yrs average lag from first incident to recall, across these 10
2006 2007 2010 2013 2016 2019 2022 Padded crib bumpers Padded crib bumpers: first incident 2006 Padded crib bumpers: recalled 2022 (16.0 yrs after first incident) 16.0 yrs Corded window blinds Corded window blinds: first incident 2009 Corded window blinds: recalled 2018 (9.0 yrs after first incident) 9.0 yrs Portable generators Portable generators: first incident 2013 Portable generators: recalled 2020 (7.0 yrs after first incident) 7.0 yrs High-powered magnet sets High-powered magnet sets: first incident 2009 High-powered magnet sets: recalled 2014 (5.0 yrs after first incident) 5.0 yrs Inclined infant sleepers Inclined infant sleepers: first incident 2015 Inclined infant sleepers: recalled 2019 (4.0 yrs after first incident) 4.0 yrs Youth recliners Youth recliners: first incident 2018 Youth recliners: recalled 2022 (4.0 yrs after first incident) 4.0 yrs Pressure cookers Multi-cooker / pressure cooker: first incident 2017 Multi-cooker / pressure cooker: recalled 2020 (3.0 yrs after first incident) 3.0 yrs Dressers & chests Clothing storage chests & dressers: first incident 2014 Clothing storage chests & dressers: recalled 2016 (2.0 yrs after first incident) 2.0 yrs Connected treadmill Connected treadmill (rear-entry): first incident 2020 Connected treadmill (rear-entry): recalled 2021 (12 mo after first incident) 12 mo Hoverboards Self-balancing scooters: first incident 2015 Self-balancing scooters: recalled 2016 (9 mo after first incident) 9 mo
first reported incident recall issued Names sit in the table below on narrow screens.
Every recall, with hazard and units, in a table
Product Hazard First Recall Lag Incidents Units
Padded crib bumpers Suffocation against the padding 2006 2022 16.0 yrs 113 n/a
Corded window blinds Strangulation on the cord 2009 2018 9.0 yrs 300 n/a
Portable generators Carbon-monoxide poisoning 2013 2020 7.0 yrs 47 1.1M
High-powered magnet sets Intestinal injury if swallowed 2009 2014 5.0 yrs 1,700 3.4M
Inclined infant sleepers Suffocation while sleeping 2015 2019 4.0 yrs 73 4.7M
Youth recliners Entrapment in the reclining mechanism 2018 2022 4.0 yrs 8 85K
Multi-cooker / pressure cooker Burns from lid released under pressure 2017 2020 3.0 yrs 119 930K
Clothing storage chests & dressers Tip-over crushing a child 2014 2016 2.0 yrs 82 29M
Connected treadmill (rear-entry) Child entrapment under the belt 2020 2021 12 mo 72 125K
Self-balancing scooters Battery fire 2015 2016 9 mo 99 500K

Separate feed Recalls are a SEPARATE CPSC feed from the NEISS ER sample: the CPSC Recalls database (cpsc.gov/Recalls, api.cpsc.gov). The rows here are illustrative reconstructions to shape the reading of recall timing; they are NOT a verified export. Swap them for a real recalls pull at the swap-point in HANDOFF.md.

IX. Notes on the Data

Methodology

The figures on this page are shaped from CPSC NEISS (National Electronic Injury Surveillance System) (NEISS public-use microdata 2013-2017 (headline year 2017); 20-year trend + recalls illustrative). NEISS is a national probability sample of emergency-department visits: about a hundred hospitals report every product-related injury they treat, roughly 400,000 cases a year. Each case carries a sample weight; summing those weights scales the sample up to a national estimate. Throughout, the raw case count is the sample and the weighted figure is the estimate - both are shown so neither hides the other.

What is real, what is a stand-in

Most of this page is now real: the body map, the product leaderboard, the diagnosis ranking, the age curve, the age skew and the triage split are all weighted national estimates computed from a real NEISS public-use ingest of 1,865,651 sampled ER-visit records covering treatment years 2013-2017, with the cross-sections read off the most recent covered year, 2017. The product codes are the source’s own NEISS product-list codes; the estimates are the summed sample weights; the per-capita rates use Census age population. The page is badged Curated, not Full, because two readings are still modeled stand-ins: the twenty-year trend (this export covers only 2013-2017, so the 2005-2024 arc with the 2020 pandemic collapse is kept as a stand-in until a longer export is wired) and the recall clock (a separate CPSC feed, below). Those two are shaped to the real structure of the source but are not counted figures yet, and both keep documented swap-points in the repo’s HANDOFF.md. One caveat on the diagnosis chart: the roughly one-in-six visits NEISS codes “other or not stated” are left out of that ranking, so its named groups sum to about four-fifths of visits rather than the whole.

Why there is no map

NEISS samples about a hundred hospitals to represent the whole country. It is not designed for state or county estimates, and the public-use file carries no state field. A US choropleth would invent geography the data cannot support. So the signature reading is a map of the body instead - the injured body part is a real NEISS variable - and the numbers are reported for the nation, never a state.

Recalls are a different feed

The recall-timing section does not come from NEISS at all. Recalls live in a separate CPSC system (the recalls database at cpsc.gov/Recalls and api.cpsc.gov). Those rows are illustrative reconstructions to shape the reading of how long a recall can lag the first reported incident; they have their own swap-point in HANDOFF.md.

What you are not seeing

NEISS counts ER visits, not injuries: someone treated at urgent care, a clinic, or not at all never appears, and a person who visits twice counts twice. It records the product present, not proven fault - a knife in the narrative is not a defective knife. Deaths are largely those that occur in or on the way to the ER, so this undercounts fatal outcomes. And a product that hurts many people mildly can outrank one that hurts few people gravely; read the triage split and the recall clock alongside the leaderboard, not instead of it.


Generated 2026-07-10 13:03 UTC

Source: CPSC NEISS (National Electronic Injury Surveillance System)