<|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 2018-08-01 09:11:46, CNN from company cnn tweeted. The tweet was "A grocery store employee is being lauded for helping a teen with autism stock shelves in a fridge <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-02 05:16:00, CNN handle of company cnn tweeted. The tweet was "When he noticed a teen with autism was interested in what he was doing, this grocery store worker let him help stock shelves for half an hour <hyperlink> <hyperlink>". This tweet got 18230 number of likes. 
2. On 2020-04-02 09:51:08, CBCNS handle of company cbc tweeted. The tweet was "Grocery store staff fed up with 'social' shoppers who flout pandemic rules <hyperlink> <hyperlink>". This tweet got 75 number of likes. 
3. On 2020-04-02 10:43:14, CBCToronto handle of company cbc tweeted. The tweet was "Grocery store staff fed up with 'social' shoppers who flout pandemic rules <hyperlink> <hyperlink>". This tweet got 114 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
5306<|im_end|>
