Photo editing and filter statistics: the sourced numbers, and the 55% nobody can find
Filter and photo-editing statistics with real sources: the surgeon-survey series from 42% to 79%, the Dove sample sizes, and the male evidence gap.
You have probably just read the sentence repeated everywhere: “55% of facial plastic surgeons see patients who want to look better in selfies.” It sounds precise enough to cite, and alarming enough to remember.
We went looking for the document behind it. We retrieved the American Academy of Facial Plastic and Reconstructive Surgery releases that exist, searched its archive, and followed the claim into the papers cited beside it.
The answer: 55% cannot be traced to an AAFPRS publication. The real record is more uneven, and it says much less about men than the internet implies.
Key numbers
- 55% appears in a university release without an AAFPRS citation (Rutgers release).
- 42% of surgeons reported the selfie motivator in 2016 (AAFPRS release).
- 72%–79% spans the published 2019–2022 selfie figures (AAFPRS release).
- 556 US girls aged 10 to 17 support Dove’s 80% claim (Unilever archive).
- 743 US teens aged 13 to 17 anchor Pew’s sample (Pew).
- 1,160 Chinese women appear in the one-year editing panel (study).
- 1,515 boys and men form the largest male-only dataset (study).
Table of contents
- Where does the “55%” come from?
- What that survey can and cannot support
- Who actually coined “Snapchat dysmorphia”?
- How many people actually edit their photos?
- What happens when people edit — the experiments
- What about men?
- What we could not verify
- How to cite this page
- The bottom line
- Sources
Where does the “55%” come from?
The short answer is that no retrieved AAFPRS release says 55%. Its published series is:
| Survey year | Selfie figure reported | Where it was published |
|---|---|---|
| 2013 | One in three surveyed surgeons | 2014 release |
| 2016 | 42 percent | 2017 release |
| 2018 | No selfie percentage published | Annual survey page |
| 2019 | 72 percent | New Stats release |
| 2020 | 75 percent | February 2021 release |
| 2021 | 77 percent | 2021 results |
| 2022 | 79 percent | New Trends release |
55% appears in none of them. A Rutgers University news page states it as fact and attributes it to AAFPRS without a citation. We searched the association’s archive for the missing record and came up empty. That is a provenance problem, not an accusation.
What that survey can and cannot support
The survey measures surgeons’ impressions of patient motivation, not patient behaviour. It can describe what respondents report hearing in consultations; it cannot establish how many patients used filters or sought procedures because of them.
AAFPRS described the 2013 frame as a select group of its 2,700 members, but never stated how many answered. The releases disclose neither response rate nor margin of error. The biggest one-year jump was about live video, not filters: 79 percent in 2021 versus 16 percent the previous year for patients seeking procedures to look better on video calls (2021 results).
Treat the series as a changing clinical signal, not a population estimate.
Who actually coined “Snapchat dysmorphia”?
No single medical author cleanly coined the term. The earliest dated attribution we found is a consumer news article from 6 February 2018, crediting a London cosmetic doctor (archived article).
The first peer-reviewed title was a Cureus editorial received 24 February 2018 and accepted 3 March 2018, roughly six months before the JAMA Viewpoint dated November/December 2018 (Cureus; JAMA). The editorial credits newspapers and calls the label premature. The JAMA record has no abstract, methods, or data.
AAFPRS later said there was not much credence behind the term and that the media, not the profession, produced it (release). Its one-in-50 figure concerns body dysmorphic disorder, not this label. No prevalence estimate or diagnostic criteria exists, so any “X% of people have Snapchat dysmorphia” claim is invented.
How many people actually edit their photos?
There is no single percentage. The popular figures come from different samples, markets, questions, and sponsors.
Dove research says 80% of girls have used a filter or retouching app by age 13; Unilever’s footnote gives 556 US girls aged 10 to 17 (Unilever). On a related item, one version says 77% tried to change or hide a body part before posting, while Dove Canada reports 67%. Its note lists 503 Canadian girls aged 10 to 17 and 1,010 women aged 18 to 55, fielded November to December 2020 (Dove Canada).
The UK “nine in ten” traces to 175 young women and nonbinary people (City, University of London). Pew is the counterweight: 25% of US teens rarely and 26% never post selfies; 43% feel pressure to post content that makes them look good and 37% to post for likes or comments. Its disclosed sample was 743 teens aged 13 to 17, surveyed 7 March to 10 April 2018 (Pew).
What happens when people edit — the experiments
Editing can worsen appearance self-evaluation, but taking, posting, and retouching are different acts.
Mills and colleagues randomised 110 female undergraduates to three conditions; harm persisted even when participants could retake and retouch (experiment). Tiggemann’s experiment gave 130 women aged 18 to 30 ten minutes to edit a fresh selfie; more editing predicted a larger rise in facial dissatisfaction (experiment). A three-wave, one-year panel of 1,160 Chinese women found editing increases predicted later declines in body satisfaction at every interval (panel).
The meta-analysis separates the acts: taking and posting relate to positive appearance self-evaluations, while editing relates to negative ones; gender and age did not moderate those relationships (meta-analysis). Posting can feel like presenting yourself; editing can turn the image into a target you now fail to match.
What about men?
The evidence is thin, and female findings should not be silently applied to men. A systematic review was female-only by design, synthesised 22 studies, and found mixed evidence on photo editing and body concerns (review).
The largest male-only dataset covers 1,515 boys and men aged 15 to 35 in Canada and the United States. Six of 10 editing forms were associated with higher intentions to use anabolic-androgenic steroids; the strongest links involved making yourself look larger, changing body parts larger or smaller, and making yourself look skinnier (male study). That is a different grammar from smoothing a face — closer to the body-image literature than to the photogenic question we answer in why am I not photogenic. A 2025 study found editing raised immediate selfie satisfaction in both sexes, while the associations found in women did not appear in men (study).
Some selfie anxiety is physical optics rather than a filter, which is the same distinction we draw in mirror versus photos. At about 12 inches, a selfie makes the nasal base approximately 30% wider in a mathematical model, not a perception experiment (lens study); see the front-camera versus back-camera guide. Broader snap-judgment evidence is in first-impression statistics.
Our free photo perception test reports how your face reads in an ordinary photo instead of assigning a fixed beauty label. There is no paywall on the score, and it is not a clinical instrument.
What we could not verify
- The 55% document: We searched AAFPRS releases for 2013 through 2024 and its web archive and found none (archive search).
- The Rutgers trail: We searched the Rutgers release and found the assertion attributed to AAFPRS, but no citation (Rutgers).
- A Snapchat prevalence: We searched PubMed and found no prevalence, incidence estimate, or diagnostic criteria (PubMed search).
- The 2018 figure: We searched the AAFPRS survey page and found no selfie percentage. “72 percent, up 15 percent from 2018” implies 57 percent as points or 62.6 percent as a relative increase; neither is published.
- Transparency and male prevalence: We searched surveys from 2014 to 2025 and found no respondent count, response rate, or margin of error; we found no nationally representative estimate for filter use among men or boys.
How to cite this page
Real World Appeal. “Photo editing and filter statistics: the sourced numbers, and the 55% nobody can find.” 25 September 2026. https://realworldappeal.com/blog/photo-editing-statistics
The bottom line
The defensible answer is not “55%.” AAFPRS published one in three for 2013, 42% for 2016, and 72% to 79% for 2019–2022, but those figures describe surgeons’ impressions, not the share of people editing photos or seeking surgery.
Selfie behaviour is too blunt a category: editing can relate to worse self-evaluation, male editing may centre on size, and a close camera can distort features before a filter touches them. Keep the citation attached to the document, not the headline. A missing source should not become a verdict about your face.
Sources
- American Academy of Facial Plastic and Reconstructive Surgery. Annual member survey releases, 2014-2023. 2014 release · 2017 release · 2020 release · 2022 release · 2023 release
- Unilever. Behind the selfie: reversing the damage of digital distortion (Dove Self-Esteem Project research). web archive copy
- Dove Canada. It's time to have The Selfie Talk (Canadian sample and methodology note). newswire.ca
- City, University of London. Professor Rosalind Gill's new report on filters and appearance culture. city.ac.uk
- Pew Research Center (2018). Teens, Social Media and Technology: habits, pressures and methodology. pewresearch.org
- Rutgers University. Selfies drive self-image and may lead many to seek plastic surgery (the .edu page that states the 55 percent figure without a citation). rutgers.edu
- Ramphul K & Mejias SG (2018). Is "Snapchat Dysmorphia" a Real Issue?. Cureus, 10(3), e2263. PubMed 29732270
- Rajanala S, Maymone MBC & Vashi NA (2018). Selfies-Living in the Era of Filtered Photographs. JAMA facial plastic surgery, 20(6), 443-444. PubMed 30073294
- Ward B, Ward M, Fried O, et al. (2018). Nasal Distortion in Short-Distance Photographs: The Selfie Effect. JAMA facial plastic surgery, 20(4), 333-335. PubMed 29494735
- Mills JS, Musto S, Williams L, et al. (2018). "Selfie" harm: Effects on mood and body image in young women. Body image, 27, 86-92. PubMed 30149282
- Tiggemann M, Anderberg I & Brown Z (2020). Uploading your best self: Selfie editing and body dissatisfaction. Body image, 33, 175-182. PubMed 32224447
- Felig RN & Goldenberg JL (2024). Selfie-Evaluation: A Meta-Analysis of the Relationship Between Selfie Behaviors and Self-Evaluations. Personality & social psychology bulletin, 50(8), 1227-1250. PubMed 37021398
- Ganson KT, Testa A, Piatkowski T, et al. (2026). Selfie Behaviors among Boys and Men: Exploring Associations with Intentions to Use Anabolic-Androgenic Steroids. Substance use & misuse, 1-7. PubMed 42152542
- Hung K, Feldborg M, Moseley R, et al. (2025). Digital selfie editing shows sex specific associations between processing biases and life satisfaction. Scientific reports, 15(1), 14235. PubMed 40274895
- McGovern O, Collins R & Dunne S (2022). The associations between photo-editing and body concerns among females: A systematic review. Body image, 43, 504-517. PubMed 36371869
- Feng J, He J, Huang X, et al. (2026). Editing selfies, eroding satisfaction: Random-intercept cross-lagged panel analyses of bidirectional links between photo-editing behaviors and body satisfaction in women. Body image, 57, 102083. PubMed 41905191
Frequently asked questions
Where does the 55% selfie surgery statistic come from?
It cannot be traced to any AAFPRS document; the figures they did publish are 42% for 2016 and 72% to 79% for 2019-2022. Our photo research guide explains why an uncited number should not become a verdict.
Who coined the term Snapchat dysmorphia?
The earliest dated attribution we found is a 6 February 2018 newspaper article crediting a London cosmetic doctor; the Cureus editorial was accepted 3 March 2018, and the JAMA Viewpoint is dated November/December 2018. The Cureus record says newspapers supplied the phrase.
What percentage of people edit their photos before posting?
Dove reports 80% from 556 US girls aged 10 to 17; a related item reports 77% in one market and 67% in Canada, while Pew provides a nationally sampled counterweight. See mirror versus photos.
Does editing your selfies actually make you feel worse?
Experiments found harm after taking or editing selfies, and a meta-analysis separated positive associations for taking and posting from negative associations for editing. The evidence is unpacked in body dysmorphia statistics.
Do these statistics apply to men?
Mostly unknown: the systematic review was female-only by design, the meta-analysis found gender did not moderate its relationships, and the male-only study found a different editing pattern centred more on size than smoothing.