<|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 2019-10-19 18:17:40, bbcthree from company bbc tweeted. The tweet was "Me at 6pm: I'm not going out tonight, need a quiet one

Me arriving at the club at 11pm:

#Strictly <hyperlink>". The most similar tweets were, 
1. On 2019-07-14 12:00:00, MetroUK handle of company metro tweeted. The tweet was "'You be quiet'

'No, YOU be quiet'

(Make sure the 🔊 is on for this one!) <hyperlink>". This tweet got 226 number of likes. 
2. On 2018-09-13 18:12:59, ariellefree handle of company free tweeted. The tweet was "Off to party with <mention> on a Thursday in London Town. What could possibly go wrong 🤷🏼‍♀️ 

Looking forward to my loud obnoxious Instagram Stories tonight 😂💥🔈♥️ <hyperlink>". This tweet got 48 number of likes. 
3. On 2018-12-29 21:24:59, Martin1Williams handle of company williams tweeted. The tweet was "Who needs me when you  have  this pub <hyperlink>". This tweet got 112 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
