The problem with TikTok skincare advice

Skincare TikTok is, in aggregate, the largest unregulated medical advice channel in the history of media. Tens of millions of viewers receive product recommendations every day from creators who would not be permitted to give the same advice on a pharmacy floor.

Not all of it is bad. There are dermatologists on the platform doing careful work. The problem is structural: the format itself rewards the wrong things.

What the format rewards

• Brevity. A 15-second video cannot carry nuance. "Use retinol" is one beat; "start at 0.025% twice a week and titrate up over 8 weeks while monitoring barrier irritation" is six beats and loses the audience.
• Confidence. The algorithm boosts decisive claims. Hedged advice ("this may help, results vary") underperforms strident advice ("this is the only thing that worked for my skin").
• Novelty. Standard advice (sunscreen daily, retinol nightly, gentle cleanser) is well-known and bores the algorithm. New routines, new acids, new "hacks" all do better.
• Affiliate alignment. Many creators earn through product links. The incentive is to recommend products, not to tell viewers they probably already own enough.

What goes wrong

The downstream effects are visible in the language of dermatology offices: "compromised barrier from over-exfoliation" was a rare complaint in 2018 and is now routine. The patient walks in with a 12-step routine assembled from short videos. Two of the steps cancel each other out. One of them is contraindicated for their skin type. They have spent $400 making themselves worse.

This is not the creators' fault individually. It is the format.

How to read it without getting hurt

1. Default to suspicion of any creator without a stated credential. A medical degree, a board-certified dermatology fellowship, or a chemistry background actually matter.
2. Look for the citation. If a creator is recommending an active ingredient, they should be able to name the study and concentration. "My friend uses it" is not evidence.
3. Cross-check on PubMed. Free, takes two minutes, and will tell you whether the claim has a study behind it or a vibe.
4. Treat product recommendations as hypotheses, not prescriptions. A product that worked for someone with different skin, age, climate, and routine may do nothing for you.
5. Anything that promises results in days is wrong. The skin barrier turns over on a 28-day cycle. Real changes take weeks.

Why Facet does not do skincare recommendations the same way

Facet's skin module returns clinical parameters: homogeneity (Fink chromophore variance), erythema, pore density. The recommendations are anchored to those numbers. Telling a user with high erythema to add an acid is exactly the wrong protocol. Telling the same user with high pore density that they need barrier repair is also wrong. The point of measuring first is to recommend second, with the recommendation depending on what was measured.

That is the trade. You lose the dopamine of a 15-second "buy this now" video. You get a protocol that has a chance of actually working.