The Data

The most trusted content sensitivity dataset on the internet.

Since 2011, our community has tracked content that matters for people in crisis. Every rating, comment, and timestamp below was contributed by people who wanted to help others watch safely.

Community Ratings

Crowdsourced yes/no answers, comments, and timestamps. Freely available on DoesTheDogDie.com for everyone, always.

19,634,382

Yes / No ratings submitted by the community

886,838

Comments adding context and detail

4,305

Community-submitted timestamps

Titles covered74,866

Movies47,254

TV Shows12,831

Books7,959

Video Games4,119

Scene Alerts

Our most detailed data. Each Scene Alert is professionally produced by paid contributors and funded by subscribers.

Four data points for each Scene Alert:

Warning before the scene starts
A description of what happens immediately before the trigger — so you know it's coming with time to prepare or step away.
Trigger timestamp
The exact timestamp the triggering content begins.
Trigger description
A spoiler-conscious description of what happens at the trigger moment, written to inform without upsetting. Delivered as an AI-normalized summary for consistent formatting across the dataset. The raw contributor descriptions are available as a paid add-on.
Skip-to timestamp
An exact point to jump to — past the trigger, back into the film safely.

19,013

Scene Alerts

162

Movies

167

TV Episodes (21 shows)

Ratings by Category

How our coverage breaks down across the trigger categories.

Category	Ratings	Comments	Community Timestamps	Scene Alerts
▶ Violence	2,455,771	123,677	159	3,600
▶ Violence	592,222	35,343	42	1,579
blood or gore	177,489	13,987	28	1,078
drownings	134,359	7,589	6	40
nuclear explosions	131,315	3,534	0	12
gun violence	149,059	10,233	8	449
▶ Vehicular	475,284	18,735	25	464
car crashes	141,605	7,340	13	121
planes crashing	133,429	3,431	1	38
people getting hit by cars	132,035	5,959	3	79
car honk / tire screech	68,215	2,005	8	226
▶ Abuse	937,153	49,899	47	777
child abuse	180,190	13,710	16	205
domestic violence	163,238	8,855	6	137
gaslighting	148,771	6,859	5	58
stalking	150,641	8,564	2	87
abused becomes abuser	63,271	2,386	1	23
abusive parents	68,464	4,403	4	122
abused forgives abuser	54,008	2,185	0	14
abuse with belt	48,369	711	1	7
women brutalized for spectacle	60,201	2,226	12	124
▶ Assault	363,881	18,201	44	772
restraints	93,272	6,449	11	381
druggings	65,717	3,452	4	117
held under water	60,247	2,280	10	35
beaten up by bully	53,439	2,284	0	86
women slapped	49,295	2,208	12	36
mouth covering	41,911	1,528	7	117
▶ Natural Disasters	13,471	183	1	7
tsunamis	13,471	183	1	7
▶ Large-scale Violence	73,760	1,316	0	1
9/11	73,760	1,316	0	1
▶ Sexual Content/Assault	1,235,662	66,678	270	1,407
▶ Sex	722,289	36,393	59	910
sexual content	175,981	13,647	22	285
incest	145,097	5,342	4	45
sexual objectification	75,733	3,847	1	127
nude scenes	80,727	6,106	21	272
sexualized minor	85,995	3,941	7	83
bestiality	67,566	1,158	3	32
lose virginity	48,687	1,272	0	27
BDSM	42,503	1,080	1	39
▶ Sexual Assault	513,373	30,285	211	497
sexual assault	192,346	16,941	87	147
onscreen sexual assaulted	105,030	4,665	77	99
sexual assault on men is a joke	60,400	1,201	2	34
pedophilia	82,644	4,196	10	78
sexual assault mentions	72,953	3,282	35	139
▶ Death, Grief & Loss	1,051,998	58,538	60	1,588
▶ Family	622,979	36,415	13	546
parents dying	172,078	13,263	5	182
cheating	142,760	7,771	1	109
kidnapping	140,379	8,069	0	100
dear toy destruction	108,536	3,347	2	12
family dies	59,226	3,965	5	143
▶ Death	263,251	13,273	39	930
self-sacrifice	64,582	3,232	5	49
non-human death	62,252	2,397	25	84
someone dies	74,565	4,200	7	549
major character dies	61,852	3,444	2	248
▶ Abandonment	122,797	7,477	6	103
child abandonment	75,306	5,517	2	47
leave without goodbye	47,491	1,960	4	56
▶ Loss	42,971	1,373	2	9
artifact destroyed	42,971	1,373	2	9
▶ Children & Babies	1,016,383	34,916	51	333
▶ Pregnancy	678,790	15,789	28	145
miscarriages	133,947	2,355	6	12
childbirth	132,935	3,889	12	17
abortions	128,439	2,364	0	6
pregnant people deaths	127,030	2,312	1	16
stillbirths	76,802	919	3	5
babies/unborn	79,637	3,950	6	89
▶ Children	337,593	19,127	23	188
kids dying	181,335	14,738	15	116
crying babies	88,009	2,782	7	63
infant abduction	68,249	1,607	1	9
▶ Animals	2,566,671	107,406	1,662	1,585
▶ Animal Distress	626,203	21,196	281	532
animal abuse	196,484	12,112	192	215
dog fighting	167,847	1,739	5	29
animals harmed during making	75,254	1,818	10	35
harmed rabbits	63,479	1,376	18	32
abandoned animals	61,795	1,725	12	40
sad animals	61,344	2,426	44	181
▶ Animal Death	1,340,214	65,470	1,167	692
dogs dying	279,364	18,830	299	78
horses dying	179,727	3,369	34	44
cats dying	196,660	6,314	84	32
animals (besides dog/cat/horse) dying	228,774	18,044	354	166
dragons dying	171,627	2,202	5	29
dead animals	180,585	12,977	295	263
pets die	103,477	3,734	96	80
▶ Animal Phobia	600,254	20,740	214	361
spiders	164,150	5,183	82	61
bugs	167,874	9,379	79	199
snakes	157,263	4,420	45	46
alligators or crocodiles	55,879	842	3	27
sharks	55,088	916	5	28
▶ Mental Health	2,354,496	111,141	148	1,775
▶ Addiction	486,378	27,754	10	295
drug use	169,450	11,263	8	157
alcohol abuse	163,525	9,347	2	74
addiction	153,403	7,144	0	64
▶ Mental Health	1,119,434	40,391	30	846
body dysmorphia	126,029	3,207	0	13
eating disorders	136,550	4,102	1	13
anxiety attacks	128,184	5,692	3	131
autism abuse	121,053	2,100	0	7
misophonia	76,118	4,600	17	265
violent mentally ill person	93,268	4,757	1	22
PTSD	78,894	4,695	2	54
D.I.D. misrepresentation	52,833	887	0	8
body dysphoria	47,817	734	0	3
ABA therapy	42,683	151	0	3
reality unhinged	48,258	2,959	1	117
mental illness	45,761	2,873	0	38
meltdowns	42,399	1,611	5	87
autism misrepresented	46,848	725	0	2
dissociation, depersonalization, or derealization	32,739	1,298	0	83
▶ Paranoia	126,310	7,215	3	214
fourth wall	75,893	3,998	3	46
being watched	50,417	3,217	0	168
▶ Drugs/Alcohol	71,717	1,669	3	24
overdose	71,717	1,669	3	24
▶ Relationships	70,817	4,235	1	40
large age gap	70,817	4,235	1	40
▶ Self Harm	479,840	29,877	101	356
people dying by suicide	164,001	13,350	43	121
self harming	148,813	7,167	24	123
"I'll kill myself"	87,939	4,075	10	36
suicide attempts	79,087	5,285	24	76
▶ Discrimination	2,301,116	83,181	57	838
▶ Social	210,989	5,572	2	49
homelessness	68,134	3,618	2	22
fat suits	53,178	483	0	5
anti-abortion	49,570	589	0	4
existentialism	40,107	882	0	18
▶ LGBTQ+	267,648	4,722	10	44
bisexual cheating	59,145	976	1	14
deadnaming / birthnaming	53,885	986	1	1
transphobic slurs	57,580	927	5	10
trans person depicted predatorily	53,502	835	1	10
LGBT+ person outed	43,536	998	2	9
▶ Race	476,482	13,596	8	110
black guy dies first	136,066	4,553	1	12
antisemitism	115,596	3,154	1	13
n-word usage	120,332	2,175	0	49
minority misrepresentation	52,063	2,985	2	29
blackface	52,425	729	4	7
▶ Disability	124,321	3,180	8	40
R-slur	80,971	1,589	7	25
disabled played by able-bodied	43,350	1,591	1	15
▶ Religious	83,757	5,944	1	146
religion discussed	43,698	4,003	1	110
demons or Hell	40,059	1,941	0	36
▶ Law Enforcement	142,999	7,880	0	123
copaganda	97,456	4,883	0	22
incarceration	45,543	2,997	0	101
▶ Sexism	65,627	2,001	3	7
male crying ridicule	65,627	2,001	3	7
▶ Prejudice	929,293	40,286	25	319
LGBT people dying	146,899	5,902	1	22
hate speech	136,191	8,693	4	79
misgendering	136,268	4,331	1	19
fat jokes	129,771	5,070	3	47
ableism	118,576	7,932	3	90
homophobic slurs	123,336	4,733	8	38
man in a dress jokes	91,568	3,026	5	20
aphobia	46,684	599	0	4
▶ Medical & Health	984,334	32,430	58	519
▶ Medical	768,622	26,537	56	447
needles or syringes are used	146,025	6,654	39	145
hospital scenes	153,625	8,619	9	206
cancer	140,912	4,061	3	40
electro-therapy	133,911	2,368	2	7
mental institutions	138,712	3,557	1	39
menstruation	42,187	889	0	5
heart attack	13,250	389	2	5
▶ Sickness	215,712	5,893	2	72
strokes	58,850	639	1	7
chronic illnesses	55,245	2,129	1	19
dementia/Alzheimer's	57,129	1,376	0	10
terminal illness	44,488	1,749	0	36
▶ Phobias & Sensory	2,647,271	132,003	1,533	4,369
▶ Gross	725,283	51,517	1,383	818
spitting	133,031	6,387	35	179
vomiting	231,483	32,973	1,315	218
audio gore	115,349	3,394	12	253
wet/soiled pants	93,017	3,648	8	36
someone is eaten	54,911	2,535	1	61
farting	47,898	950	2	28
defecation	49,594	1,630	10	43
▶ Noxious	462,449	23,077	73	2,341
flashing lights or images	135,270	8,490	50	709
shaky cam	124,952	4,718	6	232
obscene language/gestures	61,715	3,876	1	244
sudden loud noises	46,468	1,870	7	525
underwater scenes	41,339	1,891	5	55
screaming	52,705	2,232	4	576
▶ Fear	1,066,126	42,450	73	1,041
jump scares	156,730	5,755	33	372
clowns	147,950	3,402	9	13
shower scenes	141,395	6,588	7	64
claustrophobic scenes	123,518	7,529	12	169
ghosts	149,825	6,027	1	73
demonic possession	143,694	4,922	0	60
mannequins	53,943	1,836	1	67
razors	51,960	1,585	3	18
trypophobia	43,033	1,128	3	18
bodies of water	54,078	3,678	4	187
▶ Spoiler	316,927	13,714	3	124
Santa (et al) spoilers	127,522	1,381	0	0
sad endings	146,720	10,836	0	52
end credit scenes	42,685	1,497	3	72
▶ Creepy Crawly	45,980	288	1	22
bedbugs	45,980	288	1	22
▶ Live Theatre	30,506	957	0	23
audience participation	9,258	198	0	0
smoke or haze	8,085	525	0	13
onstage flying	4,212	53	0	0
audience entrance	4,284	14	0	0
live gunfire	4,667	167	0	10
▶ Bodily Harm	3,043,606	136,579	307	2,999
▶ Appendages	678,087	27,715	70	533
finger or toe mutilation	144,883	5,781	15	84
bones breaking	141,571	6,788	18	119
amputation	129,589	6,761	10	109
genital trauma/mutilation	111,039	3,941	11	54
Achilles Tendon injury	66,267	611	3	9
hand damage	45,162	3,044	12	131
dislocations	39,576	789	1	27
▶ Head	496,148	20,982	63	326
eye mutilation	154,352	7,988	25	120
teeth damage	141,130	4,053	10	64
heads getting squashed	146,658	6,230	12	49
decapitation	54,008	2,711	16	93
▶ Neck	433,277	21,427	77	616
hangings	141,411	5,893	39	56
choking	132,613	9,019	14	227
asphyxiation	61,556	2,157	1	55
chokings	50,468	2,115	14	168
throat mutilation	47,229	2,243	9	110
▶ Whole Body	1,436,094	66,455	97	1,524
people being burned alive	156,705	9,157	20	67
shaving or cutting	147,010	7,962	11	141
torture	164,777	8,999	9	145
seizures	133,698	2,817	3	25
falling deaths	139,960	7,940	5	77
buried alive	128,825	3,135	4	26
cannibalism	129,891	4,486	0	40
excessive gore	104,262	5,795	6	258
falling down stairs	67,933	2,266	6	33
crushed to death	69,452	2,732	6	25
body horror	74,824	4,025	12	189
unconscious	65,313	3,848	4	226
stabbings	53,444	3,293	11	272

Categories ordered by total community ratings. Scene Alert timestamps are professionally produced and expanding monthly.

Build with this data

Community ratings are cheap and predictable to build on. Scene Alerts and the premium data are optional add-ons.

Free

Commercial

$50/mo

Enterprise

Data access

Yes/no community ratings

✓

Community comments

✓

Community-submitted timestamps

✓

Scene Alerts (cue+trigger/skip timestamps)

—

✓

Raw contributor descriptions

—

✓

Bulk data exports

—

✓

ML training rights

—

✓

Usage

Commercial use

—

✓

Rate limit

30 req/min

600 req/min

Custom

Requests per month

5,000

500,000

Unlimited

Support

Support channel

Community

Dedicated

Attribution required

Yes

Negotiable

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API v3.0 Documentation →

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The most trusted content sensitivity dataset on the internet.

Community Ratings

Scene Alerts

Warning before the scene starts

Trigger timestamp

Trigger description

Skip-to timestamp

Ratings by Category

Build with this data