<|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 2018-01-06 14:00:04, UNICEF from company unicef tweeted. The tweet was "Do you remember your favourite toy? 

These Rohingya children may have left their toys behind when they fled their homes, but they made their own 💙 <hyperlink>". The most similar tweets were, 
1. On 2018-07-03 05:01:02, CNN handle of company cnn tweeted. The tweet was "An anonymous shopper bought $1 million in Toys 'R' Us toys right before stores went out of business.

The toys' destination? Into the arms of needy children. <hyperlink> <hyperlink>". This tweet got 4302 number of likes. 
2. On 2018-07-09 06:30:14, CNN handle of company cnn tweeted. The tweet was "An anonymous shopper bought $1 million in Toys 'R' Us toys right before stores went out of business.

The toys' destination? Into the arms of needy children. <hyperlink> <hyperlink>". This tweet got 1631 number of likes. 
3. On 2018-06-09 15:24:03, nailogical handle of company no tweeted. The tweet was "Playing with children’s toys never gets old, only I do🤷‍♀️

WATCH🎥 new video➡️ <hyperlink> <hyperlink>". This tweet got 1301 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
