<|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 2018-02-05 22:06:55, BBCNewsnight from company bbc tweeted. The tweet was "TONIGHT: <mention> tells <mention> it’s time Theresa May stood up to the “hard ideological Brexiteers” and “slung ‘em out” – 22:30 on BBC Two #newsnight <hyperlink>". The most similar tweets were, 
1. On 2019-01-15 20:35:01, Independent handle of company independent tweeted. The tweet was "MPs reject Theresa May's Brexit deal in the largest government defeat in history <hyperlink>". This tweet got 2138 number of likes. 
2. On 2019-03-12 19:40:02, Independent handle of company independent tweeted. The tweet was "Theresa May's Brexit deal defeated for second time by MPs <hyperlink>". This tweet got 306 number of likes. 
3. On 2019-02-14 17:59:14, Independent handle of company independent tweeted. The tweet was "Brexit vote: Theresa May suffers embarrassing defeat as Tories rebel over no-deal anger <hyperlink>". This tweet got 67 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
