<|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 2019-09-04 22:00:32, BBCNewsnight from company bbc tweeted. The tweet was "Labour MP Lisa Nandy says that she believes it is important that the Brexit delay bill "is implemented, not just passed… before we vote for a General Election” because “you just can’t trust a word” Boris Johnson says.

#Newsnight | <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-02-09 21:44:19, Independent handle of company independent tweeted. The tweet was "Majority of voters want Theresa May to delay Brexit, exclusive Independent poll finds <hyperlink> <hyperlink>". This tweet got 70 number of likes. 
2. On 2019-03-27 21:44:37, PaulWilliamsLAB handle of company williams tweeted. The tweet was "More support tonight in Parliament for a public vote than *any* other option, and more than the PM’s Brexit deal <hyperlink>". This tweet got 662 number of likes. 
3. On 2018-10-02 11:45:22, IWV handle of company independent tweeted. The tweet was ""And so let me make it very clear. The time for endless delay and obstruction has come to a close…Mr. President, we’ll be voting this week." <mention> #ConfirmKavanaugh <hyperlink>". This tweet got 44 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
