<|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 2019-02-09 21:00:00, BBCCasualty from company bbc tweeted. The tweet was "It's decision time for Rash! 🙇‍♂️
#Casualty starts in 10 MINUTES! <hyperlink>". The most similar tweets were, 
1. On 2018-03-13 21:05:16, cameronesposito handle of company cameron tweeted. The tweet was "as a busty human, there’s a moment trying on suits when i think: <hyperlink>". This tweet got 592 number of likes. 
2. On 2019-07-18 23:21:03, WalkingDead_AMC handle of company amc tweeted. The tweet was "Damage your skin 🧟‍♂️ <hyperlink>". This tweet got 59 number of likes. 
3. On 2018-12-01 20:04:56, cbcsports handle of company cbc tweeted. The tweet was "The time WAS nigh... <hyperlink>". This tweet got 123 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
