<|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 2020-01-25 07:13:00, BBCScotlandNews from company bbc tweeted. The tweet was "A 96-year-old retired tailor is making waistcoats for Burns Night in his care home 😍

[Original interview: Emma Trim/BBC Radio York] <hyperlink>". The most similar tweets were, 
1. On 2019-12-08 16:02:14, BarRescue handle of company bar tweeted. The tweet was ""Well, you're dressed like a six year old child." 🔥Which is your favorite burn by <mention>? <hyperlink>". This tweet got 77 number of likes. 
2. On 2020-11-17 16:00:01, lanebryant handle of company lane bryant tweeted. The tweet was "Warm &amp; SO-comfy coats (made for dancing in a winter wonderland)!
Shop: <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
3. On 2019-11-06 16:45:00, TallBoyzIsAShow handle of company cbc tweeted. The tweet was "Welcome to the Burn Unit 🔥 <hyperlink>". This tweet got 90 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
