A photograph is not an outcome dataset.

What research shows

Presentation conditions can change the apparent result.

A selected image pair has no denominator, comparator, complication data or distribution of results. Timing, lighting, focal length, camera position, pose, expression, make-up and editing can all alter the apparent change.

A 2021 cross-sectional study of 291 selected top Instagram posts found that photographic conditions favoured the postoperative result in 282 cases. The study assessed image bias, not surgical quality, individual clinicians or patient outcomes.

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Specialist interpretation

Use images to frame questions—not to settle them.

A visual gallery can help identify an aesthetic direction or discuss anatomy. It cannot establish typical results, complication rates, durability, clinical judgement or the suitability of a treatment for a different individual.

Regulatory and professional guidance treats images as claims that must be genuine, representative and substantiated. Financial interests, sponsorship and patient privacy also matter.

• Compare images taken from the same view, with identical lighting, distance, focal length and posture.
• Ask when the postoperative image was taken.
• Clarify revision, adjunctive treatment, make-up and retouching.
• Verify credentials independently of followers, likes or image quality.

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Evidence boundary

Image-quality studies do not measure clinical success.

Published content audits assess standardisation and presentation bias. They do not establish whether a procedure was indicated, technically sound or satisfactory to the patient. That distinction is essential when translating research into personal decision-making.

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