<|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 2019-09-03 09:12:09, BBCR1 from company bbc tweeted. The tweet was "Inspired by <mention>'s mum trying to prank her on the show yesterday, <mention> asked you to share the tricks your parents love to play on you 😂

Fair warning, you'll need to prepare yourself for the last one 😬 <hyperlink>". The most similar tweets were, 
1. On 2018-11-25 17:33:14, nailogical handle of company no tweeted. The tweet was "When you find out your parents are on Snapchat😳

Who saw my latest video? <hyperlink> <hyperlink>". This tweet got 1590 number of likes. 
2. On 2018-09-08 15:41:51, nailogical handle of company no tweeted. The tweet was "It’s that time again where highly educated YouTubers teach us how to get ready for BaCk To SkOoL🌝

Today I follow their advice on how to prank the teacher🤷‍♀️

🎥Watch➡️ <hyperlink> <hyperlink>". This tweet got 1711 number of likes. 
3. On 2018-10-01 20:18:44, thisisWurlD handle of company free tweeted. The tweet was "Press Play at your own risk .. everything is #contagious 🦋 #Showyouoff #Trobul #HDIYL #MothersPrayer 🌍 <hyperlink>". This tweet got 48 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
