<|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 2019-04-04 22:04:18, bbcquestiontime from company bbc tweeted. The tweet was "This audience member says the EU referendum was ‘based on lies’.  #bbcqt <hyperlink>". The most similar tweets were, 
1. On 2019-10-19 13:45:08, Independent handle of company independent tweeted. The tweet was "<mention> <mention> <mention> <mention> <mention> Sir Patrick Stewart says people were ‘misled and lied to’ over Brexit. “There was nothing democratic about that referendum" | Follow live updates from the speeches on the #PeoplesVoteMarch #FinalSay <hyperlink> <hyperlink>". This tweet got 332 number of likes. 
2. On 2018-05-27 20:49:02, Independent handle of company independent tweeted. The tweet was "Second Brexit referendum would see UK vote to remain in EU, new polling analysis shows <hyperlink> <hyperlink>". This tweet got 104 number of likes. 
3. On 2018-06-29 20:20:36, Independent handle of company independent tweeted. The tweet was "'Danny Dyer calling David Cameron a 't**t' was the most honest and coherent analysis of Brexit we’ve heard since the referendum' <hyperlink> <hyperlink>". This tweet got 94 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
