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[Mullet](/topic/mullet)

### Sentiment: XX%
![Sentiment Line Chart](https://lunarcrush.com/gi/w:600/t:mullet/c:line/m:sentiment/iv:1d.svg)  
[Sentiment 24-Hour Time-Series Raw Data](/topic/mullet/time-series/sentiment.tsv)  
**Current Value**: XX%  
**Daily Average**: XX%  
**1 Week**: XX% -XX%  
**1 Month**: XX% +3%  
**6 Months**: XX% +7%  
**1-Year High**: XXX% on 2025-05-08  
**1-Year Low**: XX% on 2025-09-07  

**Most Supportive Themes**
- **Positive Sentiment:** (59%) Posts showcase the topic in a positive light, with users sharing tutorials, transformations, and appreciation.
- **Media Mentions:** (20%) Posts focus on the topic's presence in various media, including music videos, and pop culture references.
- **Fashion and Style:** (15%) Posts highlight the topic's use in fashion, with users showcasing the topic in their outfits and discussing its aesthetic appeal.
- **Tutorials and Discussions:** (12%) Posts feature tutorials and discussions on the topic, with users sharing tips and techniques.
  
**Most Critical Themes**
- **Negative Sentiment:** (1%)  Posts express negative sentiment towards the topic, with some users expressing dissatisfaction or criticism.
  
Network engagement breakdown:  
| Network | Positive  | %   | Neutral   | %   | Negative | %   |
| ------- | --------  | -   | -------   | -   | -------- | -   |
| X       | XXXXXX    | X%  | XXXXXX    | X%  | XXXXX    | X%  |
| YouTube | XXXXXXXXX | XX% | XXXXXXX   | X%  | XXXXXXX  | X%  |
| TikTok  | XXXXXXXXX | XX% | XXXXXXXXX | XX% | XXXXXXX  | X%  |
| Reddit  | XXX       | X%  | XXXXX     | X%  | XXX      | X%  |
|         |           |     |           |     |          |     |
| Total   | XXXXXXXXX | XX% | XXXXXXXXX | XX% | XXXXXXX  | XX% |