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.

19,113,853

Yes / No ratings submitted by the community

871,924

Comments adding context and detail

2,661

Community-submitted timestamps

Titles covered73,352

Movies46,285

TV Shows11,666

Books7,786

Video Games4,021

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. Available as the raw contributor description or an AI-normalized summary for consistent formatting across the dataset.
Skip-to timestamp
An exact point to jump to — past the trigger, back into the film safely.

10,608

Trigger moments documented with cue, timestamps, and description

100

Titles with Scene Alert coverage, growing every month

Titles covered100

Movies87

TV Shows13 shows, 98 episodes

Ratings by Category

How our coverage breaks down across the trigger categories.

Category	Ratings	Comments	Community Timestamps	Scene Alerts
▶ Violence	2,385,038	121,650	91	1,796
▶ Violence	581,959	34,830	21	791
blood or gore	174,003	13,744	14	553
drownings	132,338	7,488	2	20
nuclear explosions	129,355	3,514	0	2
gun violence	146,263	10,084	5	216
▶ Vehicular	466,888	18,506	13	229
car crashes	139,439	7,250	10	63
planes crashing	131,442	3,398	0	17
people getting hit by cars	129,983	5,885	1	33
car honk / tire screech	66,024	1,973	2	116
▶ Abuse	906,715	49,235	30	349
child abuse	176,122	13,543	7	76
domestic violence	159,726	8,767	4	76
gaslighting	145,903	6,926	3	32
stalking	147,641	8,485	2	53
abused becomes abuser	60,430	2,354	1	10
abusive parents	64,668	4,243	3	49
abused forgives abuser	50,888	2,104	0	8
abuse with belt	45,287	681	1	2
women brutalized for spectacle	56,050	2,132	9	43
▶ Assault	347,639	17,650	27	423
restraints	90,143	6,315	6	198
druggings	62,807	3,313	3	70
held under water	57,618	2,207	5	16
beaten up by bully	50,928	2,208	0	49
women slapped	46,662	2,141	9	19
mouth covering	39,481	1,466	4	71
▶ Natural Disasters	10,648	151	0	4
tsunamis	10,648	151	0	4
▶ Large-scale Violence	71,189	1,278	0	0
9/11	71,189	1,278	0	0
▶ Sexual Content/Assault	1,197,219	65,372	159	735
▶ Sex	699,985	35,689	26	521
sexual content	172,797	13,497	9	176
incest	142,507	5,268	3	16
sexual objectification	73,067	3,766	0	72
nude scenes	77,541	5,935	10	170
sexualized minor	82,924	3,833	3	31
bestiality	64,792	1,133	1	18
lose virginity	46,299	1,230	0	12
BDSM	40,058	1,027	0	26
▶ Sexual Assault	497,234	29,683	133	214
sexual assault	188,947	16,793	60	67
onscreen sexual assaulted	101,249	4,469	40	44
sexual assault on men is a joke	57,827	1,170	2	17
pedophilia	79,360	4,087	8	24
sexual assault mentions	69,851	3,164	23	62
▶ Death, Grief & Loss	1,015,940	57,312	27	879
▶ Family	609,443	35,917	9	305
parents dying	169,177	13,117	4	110
cheating	140,124	7,694	1	57
kidnapping	137,779	7,966	0	54
dear toy destruction	106,298	3,324	1	8
family dies	56,065	3,816	3	76
▶ Death	249,956	12,812	15	508
self-sacrifice	62,025	3,178	2	37
non-human death	59,192	2,326	8	42
someone dies	70,364	3,994	3	299
major character dies	58,375	3,314	2	130
▶ Abandonment	115,801	7,262	2	60
child abandonment	71,654	5,389	1	24
leave without goodbye	44,147	1,873	1	36
▶ Loss	40,740	1,321	1	6
artifact destroyed	40,740	1,321	1	6
▶ Children & Babies	994,960	34,442	29	168
▶ Pregnancy	665,527	15,564	13	75
miscarriages	131,795	2,332	1	8
childbirth	130,749	3,840	6	8
abortions	126,314	2,347	0	3
pregnant people deaths	124,927	2,281	1	7
stillbirths	74,485	904	2	2
babies/unborn	77,257	3,860	3	47
▶ Children	329,433	18,878	16	93
kids dying	178,188	14,574	8	45
crying babies	85,516	2,727	7	44
infant abduction	65,729	1,577	1	4
▶ Animals	2,502,892	106,222	1,076	830
▶ Animal Distress	605,654	20,849	171	249
animal abuse	192,537	11,996	117	99
dog fighting	164,880	1,755	3	16
animals harmed during making	71,875	1,787	4	19
harmed rabbits	60,202	1,322	13	16
abandoned animals	58,488	1,675	8	22
sad animals	57,672	2,314	26	77
▶ Animal Death	1,310,353	64,843	778	360
dogs dying	273,262	18,756	212	44
horses dying	176,541	3,337	20	23
cats dying	192,610	6,233	43	17
animals (besides dog/cat/horse) dying	223,937	17,942	261	88
dragons dying	168,617	2,194	0	11
dead animals	176,271	12,775	184	135
pets die	99,115	3,606	58	42
▶ Animal Phobia	586,885	20,530	127	221
spiders	161,384	5,124	44	28
bugs	165,168	9,320	47	137
snakes	154,859	4,375	30	27
alligators or crocodiles	53,136	827	2	14
sharks	52,338	884	4	15
▶ Mental Health	2,291,208	109,303	68	1,085
▶ Addiction	477,604	27,372	4	199
drug use	166,504	11,127	4	107
alcohol abuse	160,580	9,215	0	47
addiction	150,520	7,030	0	45
▶ Mental Health	1,085,019	39,587	15	535
body dysmorphia	124,038	3,179	0	9
eating disorders	134,277	4,043	0	7
anxiety attacks	126,057	5,653	2	88
autism abuse	118,661	2,097	0	4
misophonia	74,008	4,499	9	199
violent mentally ill person	90,980	4,705	1	14
PTSD	76,515	4,625	1	28
D.I.D. misrepresentation	50,627	862	0	7
body dysphoria	45,715	708	0	2
ABA therapy	40,572	147	0	1
reality unhinged	45,592	2,822	0	55
mental illness	43,358	2,781	0	20
meltdowns	40,064	1,533	2	57
autism misrepresented	44,230	708	0	1
dissociation, depersonalization, or derealization	30,325	1,225	0	43
▶ Paranoia	121,540	6,982	3	150
fourth wall	73,713	3,893	3	28
being watched	47,827	3,089	0	122
▶ Drugs/Alcohol	69,237	1,626	2	16
overdose	69,237	1,626	2	16
▶ Relationships	68,375	4,135	0	16
large age gap	68,375	4,135	0	16
▶ Self Harm	469,433	29,601	44	169
people dying by suicide	161,185	13,271	22	55
self harming	146,207	7,086	4	70
"I'll kill myself"	85,847	4,028	4	19
suicide attempts	76,194	5,216	14	25
▶ Discrimination	2,232,395	81,473	34	507
▶ Social	202,116	5,421	2	37
homelessness	66,022	3,541	2	13
fat suits	50,959	470	0	4
anti-abortion	47,250	570	0	4
existentialism	37,885	840	0	16
▶ LGBTQ+	253,999	4,530	5	22
bisexual cheating	56,629	945	0	7
deadnaming / birthnaming	51,294	958	0	1
transphobic slurs	54,772	891	3	5
trans person depicted predatorily	50,408	786	0	2
LGBT+ person outed	40,896	950	2	7
▶ Race	465,175	13,391	7	75
black guy dies first	133,777	4,513	1	4
antisemitism	113,537	3,147	1	9
n-word usage	118,094	2,148	0	37
minority misrepresentation	49,818	2,894	2	21
blackface	49,949	689	3	4
▶ Disability	118,982	3,072	4	24
R-slur	78,247	1,550	3	17
disabled played by able-bodied	40,735	1,522	1	7
▶ Religious	78,751	5,654	0	104
religion discussed	41,138	3,799	0	76
demons or Hell	37,613	1,855	0	28
▶ Law Enforcement	137,982	7,634	0	55
copaganda	94,975	4,791	0	1
incarceration	43,007	2,843	0	54
▶ Sexism	63,550	1,962	0	2
male crying ridicule	63,550	1,962	0	2
▶ Prejudice	911,840	39,809	16	188
LGBT people dying	144,814	5,846	0	10
hate speech	134,056	8,601	3	50
misgendering	134,090	4,284	0	8
fat jokes	127,583	4,992	2	30
ableism	116,360	7,851	1	56
homophobic slurs	120,991	4,681	6	22
man in a dress jokes	89,254	2,971	4	8
aphobia	44,692	583	0	4
▶ Medical & Health	959,115	31,814	33	261
▶ Medical	751,936	26,103	31	224
needles or syringes are used	143,578	6,562	19	87
hospital scenes	151,051	8,495	5	79
cancer	138,687	4,020	2	20
electro-therapy	131,866	2,360	2	6
mental institutions	136,535	3,497	1	25
menstruation	39,702	846	0	2
heart attack	10,517	323	2	5
▶ Sickness	207,179	5,711	2	37
strokes	56,863	622	1	4
chronic illnesses	53,220	2,077	1	9
dementia/Alzheimer's	54,883	1,337	0	8
terminal illness	42,213	1,675	0	16
▶ Phobias & Sensory	2,575,737	129,616	989	2,539
▶ Gross	702,934	50,726	906	487
spitting	130,768	6,364	19	105
vomiting	224,727	32,535	866	135
audio gore	112,681	3,335	6	135
wet/soiled pants	90,625	3,598	7	22
someone is eaten	51,994	2,442	0	44
farting	45,384	902	0	20
defecation	46,755	1,550	8	26
▶ Noxious	446,663	22,400	40	1,289
flashing lights or images	132,513	8,318	25	298
shaky cam	122,797	4,644	5	159
obscene language/gestures	59,183	3,773	0	121
sudden loud noises	43,661	1,779	5	314
underwater scenes	38,918	1,787	4	27
screaming	49,591	2,099	1	370
▶ Fear	1,042,006	41,739	42	659
jump scares	153,881	5,668	16	229
clowns	145,731	3,390	6	7
shower scenes	139,160	6,515	5	49
claustrophobic scenes	121,272	7,420	9	110
ghosts	147,605	5,981	1	43
demonic possession	141,315	4,863	0	36
mannequins	51,602	1,790	0	57
razors	49,708	1,533	2	11
trypophobia	40,682	1,071	1	15
bodies of water	51,050	3,508	2	102
▶ Spoiler	309,929	13,502	1	70
Santa (et al) spoilers	125,630	1,361	0	0
sad endings	144,216	10,734	0	30
end credit scenes	40,083	1,407	1	40
▶ Creepy Crawly	43,403	286	0	11
bedbugs	43,403	286	0	11
▶ Live Theatre	30,802	963	0	23
audience participation	9,350	197	0	0
smoke or haze	8,167	530	0	13
onstage flying	4,250	53	0	0
audience entrance	4,324	15	0	0
live gunfire	4,711	168	0	10
▶ Bodily Harm	2,973,410	134,430	155	1,808
▶ Appendages	659,282	27,321	28	313
finger or toe mutilation	142,242	5,732	8	53
bones breaking	139,006	6,708	6	77
amputation	126,768	6,684	3	56
genital trauma/mutilation	107,986	3,888	3	40
Achilles Tendon injury	63,819	603	3	7
hand damage	42,369	2,938	4	69
dislocations	37,092	768	1	11
▶ Head	486,031	20,652	29	205
eye mutilation	151,598	7,865	11	74
teeth damage	138,986	4,023	7	42
heads getting squashed	144,340	6,165	4	33
decapitation	51,107	2,599	7	56
▶ Neck	421,383	20,997	41	365
hangings	138,945	5,813	16	26
choking	130,235	8,913	11	145
asphyxiation	59,508	2,110	1	34
chokings	48,097	2,024	10	99
throat mutilation	44,598	2,137	3	61
▶ Whole Body	1,406,714	65,460	57	925
people being burned alive	154,602	9,085	12	38
shaving or cutting	145,145	7,912	6	105
torture	162,329	8,868	8	77
seizures	131,939	2,799	2	17
falling deaths	138,068	7,882	4	43
buried alive	126,903	3,100	3	23
cannibalism	127,645	4,425	0	25
excessive gore	101,342	5,678	5	162
falling down stairs	65,991	2,229	3	24
crushed to death	67,345	2,674	4	12
body horror	71,991	3,936	6	129
unconscious	62,821	3,735	1	137
stabbings	50,593	3,137	3	133

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

License the dataset

Four tiers, each unlocking a different category of data. From browser extensions to research, build with the numbers above.

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$250/mo

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Data access

Yes/no community ratings

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Community comments

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Community-submitted timestamps

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Normalized Scene Alert descriptions

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Raw Scene Alert descriptions

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Bulk data exports

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ML training rights

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Usage

API calls per month

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API v3.0 Documentation →

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

License the dataset