<|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 2018-09-13 11:30:01, BBCCasualty from company bbc tweeted. The tweet was "#Casualty returns in TWO DAYS! 😮

Who's excited to see what's in store for the ED this week?! <hyperlink>". The most similar tweets were, 
1. On 2020-03-28 11:53:59, asda handle of company asda tweeted. The tweet was "Help us support and thank our heroic NHS staff by allowing them to shop first in our stores. We will now be opening our stores an hour earlier on Sundays, exclusively for browsing, so they can shop and get what they need 1/3 <hyperlink>". This tweet got 120 number of likes. 
2. On 2020-11-02 16:49:16, RoyalFreeNHS handle of company free tweeted. The tweet was "#Hospital is back…

Monday 9 November at 9pm

<mention> <mention> <mention> <hyperlink>". This tweet got 68 number of likes. 
3. On 2019-08-03 17:55:42, primevideosport handle of company amazon tweeted. The tweet was "Edgbaston crowds are something else 😂

#Ashes 

<hyperlink>". This tweet got 6242 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
