<|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 2020-01-10 17:04:05, bbcideas from company bbc tweeted. The tweet was "How <mention> warned the world about environmental destruction... back in 1992 when she was just 12 <hyperlink>". The most similar tweets were, 
1. On 2020-09-14 12:30:46, wwf_uk handle of company wwf tweeted. The tweet was "#ExtinctionTheFacts showed the problems facing our world.

It's time to stop destroying nature and start protecting it. 🌍 #StandUpForNature <hyperlink>". This tweet got 301 number of likes. 
2. On 2019-07-26 00:52:16, WWFNewZealand handle of company wwf tweeted. The tweet was "Prime Minister <mention> shares her vision for the future:
"In 50 years time I hope that we look back and say we took on the greatest environmental challenge of our time, and we won. We just changed the way that we live."
<mention> #ShareOurPlanet #ChangeTheWayWeLive <hyperlink>". This tweet got 249 number of likes. 
3. On 2020-12-08 15:11:03, greenpeaceusa handle of company greenpeace tweeted. The tweet was "What are we going to do about this toxic environment? <hyperlink>". This tweet got 529 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
