<|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 2019-01-07 22:44:46, BBCNewsnight from company bbc tweeted. The tweet was "Former foreign secretary Boris Johnson MP assures Newsnight's Political Editor that there will be no shortage of cheese and onion crisps following Brexit

<mention> | #newsnight <hyperlink>". The most similar tweets were, 
1. On 2019-09-26 10:01:00, Independent handle of company independent tweeted. The tweet was "Newsnight guests horrified as Tory tells MPs to ‘think of strain Boris Johnson is under’ <hyperlink>". This tweet got 43 number of likes. 
2. On 2019-09-27 18:16:00, Independent handle of company independent tweeted. The tweet was "Newsnight guests horrified as Tory tells MPs to ‘think of strain Boris Johnson is under’ <hyperlink>". This tweet got 48 number of likes. 
3. On 2019-12-11 19:30:00, Independent handle of company independent tweeted. The tweet was "Boris Johnson hides in fridge on live TV while dodging interview on eve of election <hyperlink>". This tweet got 140 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
