<|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 2020-10-27 16:00:34, bbcstrictly from company bbc tweeted. The tweet was "🥁 Drumroll 🥁... It's time to reveal the routines for Week Two of #Strictly.

👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-12-03 16:40:58, CameronDLWalker handle of company cameron tweeted. The tweet was "🚨PERSONAL NEWS🚨
Excited to join the team that brings the news to half a million listeners per week <mention>🏳️‍🌈 Can’t wait to get on air again and read bulletins. I’m still continuing my work <mention>, this is just something extra 📻 
Tune in on Monday morning 🔊 <hyperlink>". This tweet got 208 number of likes. 
2. On 2019-02-18 09:00:13, PADI handle of company padi tweeted. The tweet was "Rolling into a new week like... 📷 <mention> <hyperlink>". This tweet got 68 number of likes. 
3. On 2019-12-19 12:59:47, Cameron246bran handle of company cameron tweeted. The tweet was "Fully focused on Saturday now 💥 <hyperlink>". This tweet got 439 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
