<|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 2020-01-06 01:00:00, UNICEF from company unicef tweeted. The tweet was "Put yourself in their shoes.

#AChildIsAChild no matter what. <hyperlink>". The most similar tweets were, 
1. On 2020-08-14 03:53:32, IndependentNGR handle of company independent tweeted. The tweet was "CAN Backs UNICEF, NOA On Crusade Against FGM <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-07-28 08:01:26, AASouthAfrica handle of company aa tweeted. The tweet was "See yourself in any of the photos? Like and RT! 😉 #MTN702Walk <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-11-22 14:13:39, TheAA_UK handle of company aa tweeted. The tweet was "<mention> We agree 😆. <hyperlink>". This tweet got 1 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
