<|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 2019-10-24 14:00:01, BBCEarth from company bbc tweeted. The tweet was "Getting to the bottom of the weasel family; unsavoury characters? or fiesty geniuses? 😍 <hyperlink>". The most similar tweets were, 
1. On 2019-12-13 18:06:00, TwitterMovies handle of company twitter tweeted. The tweet was "In the Theron/Kidman/Robbie household, talent and a wicked sense of humor run in the family. 

<hyperlink> <hyperlink>". This tweet got 1289 number of likes. 
2. On 2018-11-15 18:59:45, MerEaton handle of company eaton tweeted. The tweet was "What’s so funny?                       Catch an all new episode of <mention> airing tomorrow night at 8pm/7c. #macgyver <hyperlink>". This tweet got 331 number of likes. 
3. On 2019-03-30 22:00:00, CBCTheNational handle of company cbc tweeted. The tweet was "Hysterical characters, clever writing – an American TV network president, a Rolling Stone critic and a Canadian TV executive explain what makes Canadian comedies like Letterkenny and Schitt's Creek so special. <hyperlink> <hyperlink>". This tweet got 51 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
