<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2018-02-22 08:43:58, BBCR1 from company bbc tweeted. The tweet was "Este <mention> called <mention> to clear things up about being the 'drunk woman' behind her and <mention> at last night's #BRITs 😂😭 <hyperlink>". The most similar tweets were, 
1. On 2018-12-25 15:04:43, AMCTheatres handle of company amc tweeted. The tweet was "The cast of <mention> talk drunk texts, selfies and playing Brits. Check it out! <hyperlink> <hyperlink>". This tweet got 13 number of likes. 
2. On 2018-12-22 20:06:20, cameronesposito handle of company cameron tweeted. The tweet was "to drink while watching Carol <hyperlink>". This tweet got 267 number of likes. 
3. On 2019-12-06 19:02:43, AnneTEmerson handle of company emerson tweeted. The tweet was "#Tonight harrowing tale from one woman who says she was propositioned by an Uber driver - this story as #uber releases report of sexual assaults - find out how she got away and the message she has for Uber drivers tonight 6pm <mention> #chsnews <mention> <hyperlink>". This tweet got 3 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
