<|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 2018-09-13 22:34:03, bbcquestiontime from company bbc tweeted. The tweet was "''We have been lied to quite severely on Brexit''

<mention> says that while the government has been 'going round and round in circles' on Brexit, many other important issues have been forgotten #bbcqt <hyperlink>". The most similar tweets were, 
1. On 2018-08-06 20:27:10, Independent handle of company independent tweeted. The tweet was "The mess of Brexit should be blamed on Brexit itself – along with the politicians who oversold it <hyperlink> <hyperlink>". This tweet got 41 number of likes. 
2. On 2018-11-20 18:36:52, PaulWilliamsLAB handle of company williams tweeted. The tweet was "Brexit is bad for the NHS. 🚑

I've just spoken to <mention> on <mention> about why myself and other Doctors in Parliament are calling for a <mention>. <hyperlink>". This tweet got 512 number of likes. 
3. On 2018-05-26 22:43:51, Independent handle of company independent tweeted. The tweet was "'Face the reality' of Brexit and don't blame us when it goes wrong, EU's chief negotiator tells UK <hyperlink> <hyperlink>". This tweet got 45 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
