<|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 2018-12-07 06:16:00, CNN from company cnn tweeted. The tweet was "The LEGO Foundation is awarding a $100 million grant to Sesame Workshop for a program seeking to change refugee children's lives with learning through play <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-12-09 13:31:00, CNN handle of company cnn tweeted. The tweet was "The LEGO Foundation is awarding a $100 million grant to Sesame Workshop for a program seeking to change refugee children's lives with learning through play <hyperlink> <hyperlink>". This tweet got 712 number of likes. 
2. On 2018-07-08 04:31:00, CNN handle of company cnn tweeted. The tweet was "Sesame Place is the first theme park to be designated as a Certified Autism Center. 80% of their staff has undergone autism sensitivity training. <hyperlink> <hyperlink>". This tweet got 1436 number of likes. 
3. On 2018-05-15 16:05:01, MicrosoftEDU handle of company microsoft tweeted. The tweet was "Announcing MakeCode for LEGO MINDSTORMS Education EV3! Read all about this exciting new development from the teams behind LEGO Education and Microsoft #MakeCode <hyperlink> <hyperlink>". This tweet got 142 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
811<|im_end|>
