<|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 2019-06-05 12:54:01, bbcquestiontime from company bbc tweeted. The tweet was "Journalist and broadcaster <mention> is with us for #bbcqt tomorrow <hyperlink>". The most similar tweets were, 
1. On 2020-07-07 16:45:03, OwsWills handle of company williams tweeted. The tweet was "Not so long ago, I was in charge of BBC One’s social media.

This short exchange is an excellent summary of my time at New Broadcasting House, London. <hyperlink>". This tweet got 211 number of likes. 
2. On 2018-08-02 20:41:02, Independent handle of company independent tweeted. The tweet was "‘If the BBC wants to know why nearly a million viewers have dropped the Today programme, they might want to look at their political coverage first’ <hyperlink> <hyperlink>". This tweet got 69 number of likes. 
3. On 2018-05-28 18:42:21, CBCLondon handle of company cbc tweeted. The tweet was "CBC London reporter wins national award for radio feature story  <hyperlink> <hyperlink>". This tweet got 41 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
