<|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 2018-10-11 21:56:47, bbcquestiontime from company bbc tweeted. The tweet was "''This is a failed system'' 

<mention> says that the current system of universal credit is not working #bbcqt <hyperlink>". The most similar tweets were, 
1. On 2019-07-11 14:43:18, CreditSuisse handle of company credit suisse tweeted. The tweet was "💯! Congrats <mention>!🏆 #RF100 <hyperlink>". This tweet got 188 number of likes. 
2. On 2018-12-06 17:21:06, MastercardNews handle of company mastercard tweeted. The tweet was "How do you break the cycle and get credit if you don't have a credit history? Hear how the rules around access to credit is changing with host <mention> &amp; <mention> on #FFtB <hyperlink> <hyperlink>". This tweet got 69 number of likes. 
3. On 2020-01-02 18:21:57, Cameron_Gray handle of company cameron tweeted. The tweet was "<mention> The error... <hyperlink>". This tweet got 232 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
