<|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 2018-01-10 12:19:00, BBCNewsbeat from company bbc tweeted. The tweet was "The #AgentofChange campaign hopes to protect small music venues across the UK in law from being closed down as a result of property development <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-07 02:08:02, IndependentNGR handle of company independent tweeted. The tweet was "Government Warned Over Live Music Brexit Plans <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-04-30 23:10:12, IndependentNGR handle of company independent tweeted. The tweet was "Police Shut Down Music Show For Breaking Lockdown Rules <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-11-19 21:05:59, wwf_uk handle of company wwf tweeted. The tweet was "The advert breaks in the #ITVLeadersDebate were longer than the time <mention> and <mention> discussed the climate and nature crisis.

When will our politicians wake up? Time is running out to act! 

#ITVdebate #ClimateCrisis <hyperlink>". This tweet got 219 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
