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Likelier
Health · reviewed 2026-05-09

Does drinking cold beverages or eating ice cream cause sore throats?

Evidence quality 5.0/5

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
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

No reliable estimate

Not quantified

A tall glass of water with ice cubes, condensation on the outside, flat vector illustration in muted blue-grey tones.
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Sore throats are caused by pathogens — rhinovirus, adenovirus, group A Streptococcus, Epstein-Barr virus, and a handful of other infectious agents account for virtually all cases. Between 70% and 90% of acute pharyngitis episodes are viral in origin (Bower 2012), with rhinovirus being by far the most common culprit. None of these pathogens are delivered to the pharynx via the temperature of a drink. The mechanism by which cold beverages could initiate infection has never been proposed in any credible physiological model: cold liquid passes through the mouth and throat in seconds, warms rapidly toward body temperature, and produces no sustained effect on mucosal immunity, pathogen entry, or local vascular tone sufficient to establish infection. Yet a nationally representative US survey found 70% of parents follow at least one non-evidence-based cold-prevention strategy (Mott 2019), with beliefs rooted in cold-temperature illness theories ranking among the most prevalent folklore. Research on conceptual development confirms that cold weather theories for illness are “frequently invoked” by children and many adults, with reliance declining only as germ theory understanding develops (Sigelman 2012) — and the parallel belief that cold food causes throat infection rests on the same folk-theoretical substrate.

The scientific literature on cold exposure and respiratory infection tells a more textured story than a flat dismissal. Eccles (2002) proposed that inhaled cold air — not swallowed cold liquid — can impair nasal mucociliary clearance and thereby facilitate upper respiratory infection. The mechanism is specific to the nasal epithelium and depends on sustained temperature reduction that does not occur when cold food passes briefly through the pharynx. Johnson and Eccles (2005) tested foot-chilling in a randomised controlled trial of 180 volunteers and found that 13 of 90 chilled subjects reported developing a cold within four to five days, compared with 5 of 90 controls — a statistically significant difference the authors attributed to chilling unmasking latent viral infection already present in the nasal passages, not to chilling causing new infection. The distinction matters: these experiments deal with physiological cold stress affecting immune defences in the upper airway, not with the sensory experience of a cold drink passing the tonsils.

The irony running through this topic is that cold food and drink appear in evidence-based clinical guidance as a symptomatic treatment for sore throat rather than a cause. Ice lollies, ice water, and ice cream lower the temperature of pharyngeal nerve endings and reduce pain signalling transiently — a mechanism analogous to applying cold to a sprained ankle. The same parents who restrict cold food to prevent sore throat will often offer ice cream to a child who already has one, an internal inconsistency that underscores how the folk belief tracks intuitive temperature categories rather than any coherent causal model. The belief that cold drinks cause throat infection conflates temperature sensation with infection risk, applies folk categories about “cold” and “heat” in the body to a domain where microbiology has displaced humoral theory, and inverts the actual clinical utility of cold food in throat care.

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] C.S. Mott Children's Hospital National Poll on Children's Health (2019) — Preventing colds in children: Following the evidence?
    Preventing colds in children: Following the evidence?
    Statistic
    70% of 1,119 US parents (nationally representative, ages 5-12 child households) reported using non-evidence-based cold-prevention folklore; 52% told children not to go outside with wet hair, 48% encouraged more indoor time
    Excerpt
    “"Seven out of ten parents reported that their overall strategy to help their child avoid colds includes using at least one approach that has little or no scientific evidence, such as telling their children not to go outside with wet hair." ”
    Source data from
    2019-01-21
    Accessed
    2026-05-09 · archived copy
    Calculation
    The Mott 2019 nationally representative poll (N=1,119 US parents with children aged 5-12, GfK household panel, margin of error ±1-4 percentage points) documents broad prevalence of non-evidence-based cold-prevention beliefs in the US. The 70% figure covers folklore strategies generally, including wet hair avoidance and indoor restriction — both rooted in the belief that cold air or cold conditions cause illness. The poll does not separately isolate "cold food causes sore throat" as a discrete item, but it anchors the US-specific prevalence of cold-related illness myths. No native or normalized probability is derived because this entry is flagged no_reliable_estimate: the myth posits a causal mechanism that does not exist, so there is no measurable risk probability to report.
  2. [2] Health Education & Behavior (Sigelman 2012) — Age and ethnic differences in cold weather and contagion theories of colds and flu
    Age and ethnic differences in cold weather and contagion theories of colds and flu
    Statistic
    Cold weather theories for illness causation are 'frequently invoked' by children and many adults; younger children and ethnic minority children more often attribute colds to cold temperatures than to germ exposure
    Excerpt
    “"A cold weather theory was frequently invoked to explain colds and to a lesser extent flu but became less prominent with age as children gained command of a germ theory of disease. Mexican American and other minority children were more likely than European American children to subscribe to cold weather theories." ”
    Source data from
    2012-02-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    Sigelman (2012) is a peer-reviewed study (Health Education & Behavior, PMID 21586668) documenting the developmental and cultural persistence of cold-weather illness theories. The finding that cold temperature attribution is "frequently invoked" and shows ethnic variation provides the research backing for perceived.description's cultural claims. The study examines cold weather (not specifically cold food or drink), but the same folk-theory framework underlies both beliefs. No quantitative probability is computable from this study for this entry.
  3. [3] Netter's Infectious Diseases via PMC (Bower 2012) — Pharyngitis
    Pharyngitis
    Statistic
    70–90% of acute pharyngitis episodes are viral in origin; rhinovirus is by far the most common causative agent
    Excerpt
    “"Depending on the season and the patient's age, 70% to 90% of acute episodes are viral and involve a wide array of common viruses. By far, the most common virus associated with pharyngitis is the common cold agent, rhinovirus." ”
    Source data from
    2012-03-21
    Accessed
    2026-05-09 · archived copy
    Calculation
    Bower (2012) is the foundational reference for the infectious etiology of pharyngitis. The 70–90% viral figure establishes that the vast majority of sore throats require exposure to a pathogen, not a cold beverage. Temperature is not listed among the etiological categories for acute pharyngitis in any standard infectious disease reference. Rhinovirus, adenovirus, Epstein-Barr virus, and group A Streptococcus account for the overwhelming majority of cases; none of their transmission or virulence mechanisms involves dietary temperature.
  4. [4] Family Practice (Johnson & Eccles 2005) — Acute cooling of the feet and the onset of common cold symptoms
    Acute cooling of the feet and the onset of common cold symptoms

    See all 3 Likelier entries citing this source →

    Statistic
    In a randomised controlled trial of 180 healthy volunteers, 13/90 chilled subjects reported developing a cold within 4–5 days vs 5/90 controls (P=0.047); the authors conclude that chilling may trigger latent viral symptoms in people already harbouring infection, not that cold exposure causes new infection
    Excerpt
    “"There is a common folklore that chilling of the body surface causes the development of common cold symptoms, but previous clinical research has failed to demonstrate any effect of cold exposure on susceptibility to infection with common cold viruses." ”
    Source data from
    2005-12-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    Johnson & Eccles (2005) is the most rigorous controlled experiment on chilling and cold symptom onset. The statistically significant result (13 vs 5 colds, P=0.047) was interpreted by the authors as chilling unmasking latent viral infection already present in nasal passages, not as chilling causing new infection. Critically, chilling of the feet is categorically different from drinking a cold beverage: foot chilling affects peripheral vasoconstriction and nasal mucosa temperature via reflex mechanisms, not direct thermal contact with the pharynx. Cold drinks in the mouth and throat do not cause the nasal airway temperature drop that is Eccles's proposed mechanistic pathway for symptomatic reactivation. The PubMed abstract text is used as the excerpt because the full text is behind an Oxford Academic paywall.
  5. [5] Acta Otolaryngologica (Eccles 2002) — An explanation for the seasonality of acute upper respiratory tract viral infections
    An explanation for the seasonality of acute upper respiratory tract viral infections
    Statistic
    Seasonal exposure to cold air increases URTI incidence by cooling the nasal epithelium and impairing mucociliary clearance — a mechanism specific to nasal airway cooling, not to oral consumption of cold food
    Excerpt
    “"Seasonal exposure to cold air causes an increase in the incidence of URTI due to cooling of the nasal airway. The inhalation of cold air causes cooling of the nasal epithelium, and this reduction in nasal temperature is sufficient to inhibit respiratory defences against infection such as mucociliary clearance." ”
    Source data from
    2002-03-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    Eccles (2002) provides the mechanistic context for why cold air can plausibly increase infection risk (nasal cooling, impaired mucociliary clearance) while simultaneously showing that this mechanism does not apply to cold food or beverages. Cold drinks lower pharyngeal temperature transiently but do not cool the nasal epithelium through the same reflex pathway that cold air inhalation does. The seasonal correlation between cold weather and sore throat incidence has a real but indirect explanation: people gather indoors, share viral loads, and inhale cold dry air — not because they drink more iced beverages in winter. The abstract text is used as the excerpt source; the full text is paywalled at Tandfonline.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 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& 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 — 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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 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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