<|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 2018-04-19 17:30:06, CNN from company cnn tweeted. The tweet was "This man needed a kidney, and a classmate from 50 years ago whom he barely knew answered the call <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-19 14:15:11, CNN handle of company cnn tweeted. The tweet was "This man needed a kidney, and a classmate from 50 years ago whom he barely knew answered the call <hyperlink> <hyperlink>". This tweet got 1648 number of likes. 
2. On 2018-12-31 03:01:06, CNN handle of company cnn tweeted. The tweet was "This man wore a sign to find his wife a kidney donor <hyperlink> <hyperlink>". This tweet got 563 number of likes. 
3. On 2019-04-08 14:33:07, CNN handle of company cnn tweeted. The tweet was "She lived for 99 years with organs in all the wrong places, and never knew it <hyperlink> <hyperlink>". This tweet got 578 number of likr 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
893<|im_end|>
