<|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 2020-10-01 22:33:57, bbcquestiontime from company bbc tweeted. The tweet was "“I don’t really think any of the politicians get it, they’re sitting receiving their pay every month”

This virtual audience member says small businesses are the backbone of Britain and have been left “high and dry” #bbcqt <hyperlink>". The most similar tweets were, 
1. On 2019-01-26 22:01:50, Independent handle of company independent tweeted. The tweet was "£17bn already ripped out of UK public purse due to Brexit, research shows <hyperlink> <hyperlink>". This tweet got 113 number of likes. 
2. On 2018-08-02 20:41:02, Independent handle of company independent tweeted. The tweet was "‘If the BBC wants to know why nearly a million viewers have dropped the Today programme, they might want to look at their political coverage first’ <hyperlink> <hyperlink>". This tweet got 69 number of likes. 
3. On 2020-07-30 11:45:00, Independent handle of company independent tweeted. The tweet was "NHS staff march to Downing Street in demand for higher pay <hyperlink>". This tweet got 419 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
