<|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 2019-12-13 21:28:02, bbcquestiontime from company bbc tweeted. The tweet was "“For you to blame Jeremy Corbyn, particularly after your colleagues on the right of the party pushed him to adopt that position of a second referendum, is absolutely abhorrent”
This #bbcqt audience member criticises parts of the Labour Party for their treatment of Jeremy Corbyn. <hyperlink>". The most similar tweets were, 
1. On 2019-01-02 00:24:28, Independent handle of company independent tweeted. The tweet was "Pressure mounts on Jeremy Corbyn as Labour members overwhelmingly back fresh Brexit referendum <hyperlink> <hyperlink>". This tweet got 65 number of likes. 
2. On 2019-11-27 08:55:00, Independent handle of company independent tweeted. The tweet was "Jeremy Corbyn refuses four times to apologise for his handling of antisemitism in the Labour party <hyperlink>". This tweet got 67 number of likes. 
3. On 2019-02-16 22:45:17, Independent handle of company independent tweeted. The tweet was "Corbyn accused of ditching Labour's Brexit policy as party delegates turn on leader <hyperlink> <hyperlink>". This tweet got 109 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
