<|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 2018-12-26 15:02:00, BBCOne from company bbc tweeted. The tweet was "You think you know Hercule Poirot, think again. 

John Malkovich and Rupert Grint star in Agatha Christie's #TheABCMurders. 

BBC One | Tonight | 9pm. <hyperlink>". The most similar tweets were, 
1. On 2019-02-26 23:15:05, AMCTheatres handle of company amc tweeted. The tweet was "Find out why #BradPitt’s next film will have serious sci-fi fans smiling. Read on: <hyperlink> <hyperlink>". This tweet got 49 number of likes. 
2. On 2018-11-14 19:47:02, totalfilm handle of company total tweeted. The tweet was "Watch the moment #TheCrimesOfGrindelwald cast realise only *some* of them know the <mention> 3 title <hyperlink> <hyperlink>". This tweet got 1638 number of likes. 
3. On 2019-08-30 17:30:20, AMCArtisanFilms handle of company amc tweeted. The tweet was "Every mystery begins with a secret. Julianne Moore, Michelle Williams, and Billy Crudup star in #AfterTheWedding. See it now playing at select AMC Theatres. 🎟: <hyperlink> <hyperlink>". This tweet got 7 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
