The post attributes a quote about her father's transition to a young girl and uses it to dismiss an entire community. The text provides no source: it is a scene constructed to fit the narrative.
Commentator **Richard Hanania** posted on X a dialogue he presents as real: a girl sees a photo of her father before his transition and says it makes her sad. The father replies that it was not his intention. From this scene, Hanania concludes that transgender people are 'narcissists'. There is no name, no date, no link to any testimony. The conversation exists only inside the tweet.
## A scene with no verifiable source
The text does not identify the family, does not say when it peine and provides no document of any kind. It is a classic format of social media rhetoric: a touching case is invented or embellished, and a general rule about a group is drawn from it. The girl serves as the emotional trigger; the father, as the evidence. Neither of them can confirm or deny what is attributed to them.
## A clinical term used as an insult
Hanania uses 'autogynephiles', a category from 1980s sesso describing men attracted to the image of themselves as women. The word has fallen out of current clinical terminology and is used mainly in forums critical of transgender rights. Applying it to all transgender people is a generalisation that the original definition itself does not support.
## Why this format works on social media
A short dialogue, a girl and a sad line: the post is built so the reader fills in the rest. Nothing needs to be proven when the scene has already done the emotional work. The problem is not that a specific case is questioned, but that an unverified conversation is used to pass judgment on an entire community. That is opinion, not data.
Claims about mental health or gender identity should be checked against professionals and verifiable sources, not anonymous social media posts.
Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication.
Read the full discussion (1 replies).
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