<|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 2019-04-26 04:01:10, CNN from company cnn tweeted. The tweet was "A teacher ran out of sick days to stay with his cancer-stricken daughter, so fellow educators chipped in with their sick days -- adding up to 100 days <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-16 21:24:08, CNN handle of company cnn tweeted. The tweet was "This teacher battling cancer ran out of sick days, so school employees showered him with theirs <hyperlink> <hyperlink>". This tweet got 957 number of likes. 
2. On 2018-08-16 02:15:09, CNN handle of company cnn tweeted. The tweet was "A teacher battling cancer ran out of sick days, so school employees showered him with theirs <hyperlink> <hyperlink>". This tweet got 3856 number of likes. 
3. On 2018-08-20 00:00:12, CNN handle of company cnn tweeted. The tweet was "While it's heartwarming to see teachers support each other, donating sick days is a symptom of an inhumane, utterly broken system | By Alieza Durana for <mention> <hyperlink> <hyperlink>". This tweet got 684 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
9998<|im_end|>
