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The Express Gazette
Thursday, October 15, 2026

The Psychology Behind the 'Anti-Mar-a-Lago' Face Trend

Experts suggest the rising demand for a 'refreshed-but-recognizable' aesthetic is driven by more than just beauty standards, potentially serving as a form of social signaling and group identity.

US Politics • 2 hours ago
The Psychology Behind the 'Anti-Mar-a-Lago' Face Trend

Demand for the 'anti-Mar-a-Lago' face, characterized by an appearance that is 'anti-obvious plastic surgery,' is on the rise, according to cosmetic surgeons. This trend stands in contrast to the 'MAGA makeover,' which is often associated with a hyper-feminine aesthetic, copious use of Botox, a Miami-bronze tan, puffy lips, and smooth skin.

The 'anti-Mar-a-Lago' look prioritizes maintaining the individual's recognizability, aiming for a refreshed, healthy, and natural appearance rather than an overtly altered one. Celebrities like Emma Stone, Anne Hathaway, and Lindsay Lohan are cited as exemplifying this aesthetic, which emphasizes looking rested and revitalized without immediately signaling cosmetic procedures.

Behavioral scientists and social psychologists propose that this aesthetic shift may extend beyond superficial beauty preferences, serving as a form of 'group signaling.' Jordan Bridger, a behavioral scientist, explained that faces act as 'quick identity badges.' When a certain look becomes associated with a particular social group, individuals may adopt alternative styles to differentiate themselves.

This 'distinction-seeking' is influenced by several factors, according to Bridger. Firstly, a visibly altered appearance can be perceived as excessive effort, signaling a desire to be noticed. In contrast, a more natural look can be interpreted as a higher-status signal. Secondly, faces that exhibit natural movement and expression tend to foster trust, whereas overly polished or static faces may appear guarded. Bridger notes the irony that achieving a natural look often requires significant effort, making it a subtler form of performance.

Psychiatrist Sam Zand views the 'anti-Mar-a-Lago' face as a reaction to beauty becoming intertwined with political identity. He suggests that individuals may move away from looks associated with certain political affiliations to express independence or align with their personal values. However, Zand also cautions against over-interpreting political leanings based solely on appearance, emphasizing that motivations for cosmetic choices can be complex and vary across individuals and groups.

The 'MAGA makeover,' popularized after President Donald Trump took office, has been linked to figures such as Kristi Noem, Laura Loomer, and Kimberly Guilfoyle. This aesthetic, often seen as a status symbol within Trump's circle, reflects an admiration for a 'Hollywood central casting' look. Psychologists have previously suggested that this trend was driven by a desire to reinforce classic feminine traits and traditional gender roles prevalent in the MAGA movement.

While the 'anti-Mar-a-Lago' trend emphasizes a natural appearance, experts acknowledge that embracing this aesthetic can create its own pressures. The rejection of one beauty standard can inadvertently establish another, potentially leading to expectations for women to demonstrate authenticity through their looks. Despite these social dynamics, some individuals continue to make cosmetic decisions based purely on aesthetic preference, underscoring the need to avoid assumptions about political affiliations based on superficial appearances.

Dr Melinda Lacerna Kimbrell, a double board-certified plastic surgeon, previously told the Daily Mail that the most important feature is that the person remains recognizable. Pictured: Lindsay Lohan in 2026

Demand for the 'anti-Mar-a-Lago' face is rising with Emma Stone cited as embodying the refreshed-but-recognizable look. Pictured: In 2019

The anti-Mar-a-Lago face seems to be in contention to the MAGA makeover trend that swept Capitol Hill after President Donald Trump took office. Pictured: Kimberly Guilfoyle in 2026


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