<|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 2018-05-28 10:45:00, BBCCasualty from company bbc tweeted. The tweet was "Heavy weekend? 😴 
Why not relax and watch last night’s #Casualty on BBC iPlayer right now! 👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-12 16:12:37, PatMcAfeeShow handle of company mcafee tweeted. The tweet was "T's &amp; P's to <mention> after that gruesome injury 

We've got a lot to chat about on this #OverreactionMonday.. Join us 

Watch LIVE~&gt; <hyperlink>
Listen LIVE ~&gt;  <hyperlink>
<mention> ~&gt; 📞 888-623-3646 <hyperlink>". This tweet got 165 number of likes. 
2. On 2018-03-10 06:58:01, CBCOlympics handle of company cbc tweeted. The tweet was "What to watch today at the Paralympics: Mar.9-10
<hyperlink> <hyperlink>". This tweet got 112 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
