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Crime · reviewed 2026-05-09

What are the odds of being physically harmed, arrested, or killed while participating in mass protests under an authoritarian regime?

Evidence quality 4.63/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 12

8.3% lifetime chance

Most people underestimate this.

range 1 in 50 to 1 in 4.0

lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 3.0 1 in 30

● your factors — click this risk ▾ to reveal

≈ As likely as

A single folded paper with a handwritten word, resting on a plain surface, flat vector illustration in muted tones.

Perceived

Most people in democratic countries imagine protest as a low-risk civic act, anchored by experience with police-escorted marches, permit-based demonstrations, and a right-to-assemble legal framework. When people imagine protesting under an authoritarian government, they tend to imagine either total safety (the regime will not dare crack down publicly) or certain death (any protest is crushed immediately). The documented reality sits in an uncomfortable middle: serious enforcement actions are common, killing is selective but real, and mass detention affects a large fraction of participants during sustained crackdowns. No systematic survey measures the perceived risk of protest participation under authoritarianism; this estimate is based on editorial assessment of how the documented figures compare to common intuitions.

Rough estimate: most people significantly underestimate the arrest rate; deaths are less common than feared but more common than zero

Source: editorial intuition, not polled

Actual

~25,000 arrested out of ~300,000 estimated cumulative participants (Belarus 2020); ~8.3% arrested per protest campaign

People who participated in the Belarus 2020 mass protests against the Lukashenko government

Show derivation

Reference event: the Belarus 2020 post-election protest movement, August-December 2020. Human Rights Watch documented that by mid-November 2020, Belarusian authorities had detained a total of more than 25,000 people since early August. The peak single-rally attendance was approximately 200,000 people (August 16 in Minsk); multiple major rallies drew 100,000+. The cumulative number of unique individuals who participated across the August-December protest cycle is not precisely documented, but given that at least 4 distinct 100,000-200,000 person rallies occurred in Minsk alone plus many regional demonstrations, a conservative estimate of ~300,000 unique participants is used as the denominator. This yields an arrest-per-participant rate of 25,000 / 300,000 = 8.3%, or roughly 1 in 12 people arrested across the full campaign. Deaths during the same period: at least 4 people died as a direct result of police actions (HRW World Report 2021). Death rate: 4 / 300,000 = ~0.0013% per campaign, or approximately 1 in 75,000. The 8.3% figure is used as the headline because detention/arrest/beatings was the dominant harm; deaths, while real, were not the primary form of enforcement. Iran 2022 comparison for calibration: ~551 killed + ~19,262 arrested out of a participant base estimated in the hundreds of thousands across 26 provinces and 134 cities, consistent with a comparable or higher arrest rate and a materially higher killing rate per participant. The scope is declared as subgroup_lifetime because this is a per-campaign risk for active protest participants, not a general US-adult population probability. It is not directly comparable to the population-lifetime figures elsewhere on this site.

Caveats: The 8.3% headline is specific to Belarus 2020 and should not be treated as a uni…

The 8.3% headline is specific to Belarus 2020 and should not be treated as a universal constant for authoritarian protest repression. Crackdown intensity varies dramatically by regime, movement size, international scrutiny, and domestic political calculus. Belarus 2020 involved a relatively restrained killing rate but aggressive mass detention. Iran 2022 involved both mass detention and a materially higher killing rate. Russia 2022-2023 anti-war protests involved rapid arrests but fewer reported killings. China 2022 (the "A4 paper" or "blank paper" movement) was suppressed largely through pre-emptive surveillance and spot detentions rather than mass crackdowns. The denominator (unique participants) is the largest source of uncertainty: it is never precisely counted in authoritarian settings. The 8.3% figure is an arrest-focused estimate; the probability of any physical harm (assault, beating, injury during detention) is higher than 8.3% because documented torture and mistreatment affected hundreds of those arrested. The risk of death ranges from near-zero (Belarus) to 0.1-0.5% (Iran 2022) depending on the specific regime and event. This estimate applies to active protest participants, not to bystanders or people arrested pre-emptively.

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Compare to:

During the 2020 protests in Belarus, more than 25,000 people were detained across roughly four months of demonstrations — out of an estimated 300,000 or more unique participants, yielding a campaign-level arrest probability of approximately 1 in 12. At least four people were killed by police actions during the same period. Human Rights Watch documented that hundreds of those arrested were subjected to systematic beatings or torture in detention facilities. The risk of arrest was not a fringe outcome for participants: it was common enough that Belarusian authorities routinely arrested more than 1,000 people in a single weekend.

The Iran 2022 Mahsa Amini protests provide a second data point with a strikingly different killing rate. United Nations documentation recorded at least 551 deaths across 26 of 31 Iranian provinces, along with approximately 19,262 arrests in at least 134 cities and universities. With protests spread across a population of roughly 87 million and drawing participants across multiple months, the arrest rate per active participant is comparable to Belarus; the killing rate is materially higher, on the order of 0.1 to 0.5 percent of active protesters depending on denominator assumptions. Both cases make clear that the risk distribution is not uniform: mass detention is the baseline tool, lethal force is selective but real, and the probability of either outcome is far from negligible for people who attend multiple large demonstrations.

Several factors shape where on this range a specific protest campaign falls. Regime type matters: governments that face significant international economic ties and visa dependencies (like Belarus in 2020) have historically exercised more restraint on lethal force than more isolated regimes (like Iran in 2022). Movement size creates a partial shield: mass arrests of 200,000-person crowds are logistically impractical, so the arrest rate per participant tends to decline as protests grow very large. Timing matters too: initial crackdowns in the first days of a movement are typically the most violent, before authorities shift to selective prosecution of organizers and visible leaders. None of these factors eliminate the risk; they redistribute it across the participant population.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] Human Rights Watch — World Report 2021: Belarus
    World Report 2021: Belarus
    Statistic
    By mid-November 2020, authorities had detained a total of more than 25,000 people since early August; at least four protesters died as a result of police actions
    Excerpt
    “"By mid-November, authorities had detained a total of 25,000 since early August. At least four protesters died as a result of police actions." ”
    Source data from
    2021-01-13
    Accessed
    2026-05-09 · archived copy
    Calculation
    HRW's World Report 2021 provides the cumulative 25,000 detentions figure for August-November 2020, sourced from Viasna Human Rights Centre monitoring. Dividing 25,000 detentions by an estimated 300,000 unique campaign participants (conservative, based on documented peak rallies of 200,000 on August 16 and multiple 100,000+ rallies nationwide) yields ~8.3% arrested per campaign. Death rate: 4 / 300,000 ≈ 0.0013%. The uncertainty band (2%-25%) reflects the unobserved denominator: if unique participants were closer to 500,000, the arrest rate falls to ~5%; if closer to 100,000, it rises to ~25%.
  2. [2] Human Rights Watch — Belarus: Systematic Beatings, Torture of Protesters
    Belarus: Systematic Beatings, Torture of Protesters
    Statistic
    Belarusian security forces arbitrarily detained thousands of people and systematically subjected hundreds to torture and other ill-treatment in the days following the August 9, 2020 presidential election
    Excerpt
    “"Belarusian security forces arbitrarily detained thousands of people and systematically subjected hundreds to torture and other ill-treatment in the days following the August 9, 2020 presidential election." ”
    Source data from
    2020-09-15
    Accessed
    2026-05-09 · archived copy
    Calculation
    HRW's September 2020 report documents that hundreds of detainees were subjected to torture or ill-treatment, meaning that among those arrested, a substantial fraction experienced serious physical harm beyond simple detention. This is distinct from the raw arrest count: arrest probability ~8.3%; conditional probability of serious abuse given arrest was "hundreds" out of the ~7,000+ arrested in the initial August crackdown, or at minimum ~5-10% of detainees.
  3. [3] UN News — Iran: Repression continues two years after nationwide protests
    Iran: Repression continues two years after nationwide protests
    Statistic
    At least 551 people killed by the Iranian government during the 2022-2023 Mahsa Amini protests, including 68 minors; approximately 19,262 arrested in at least 134 cities
    Excerpt
    “"551 deaths, at least 49 women and 68 children occurred across 26 out of the 31 provinces of Iran. The International Fact-Finding Mission gathered over 27,000 items of evidence and conducted 134 in-depth interviews with victims and witnesses." ”
    Source data from
    2024-03-15
    Accessed
    2026-05-09 · archived copy
    Calculation
    The Iran 2022 data provides a second empirical anchor for the same type of risk: sustained mass protests under an authoritarian government. With protests across 26 of 31 provinces and 134 cities, and 19,262 documented arrests, the arrest scale is consistent with the Belarus case. The killing rate was higher in Iran: 551 deaths vs. estimated hundreds of thousands of participants implies a death rate on the order of 0.1-0.5% per campaign for active participants, materially higher than the Belarus figure of ~0.001%. This wide killing-rate range (Belarus ~0.001%, Iran ~0.1-0.5%) drives the high end of the uncertainty band and explains why the scope is framed as "per campaign in an authoritarian crackdown" rather than "per democratic protest".

412 risks with measured probability
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Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 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losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238