<|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 2020-01-04 03:00:00, BBCEarth from company bbc tweeted. The tweet was "If you dare!
#EarthsTropicalIslands <hyperlink>". The most similar tweets were, 
1. On 2018-03-24 07:00:23, wwf_uk handle of company wwf tweeted. The tweet was "#EarthHour is sweeping across the globe today! We'll be tweeting all day, building up to #EarthHourUK at 8:30pm. 🌏 Join the global movement by switching off &amp; making a #PromiseForThePlanet: <hyperlink> <hyperlink>". This tweet got 243 number of likes. 
2. On 2018-03-24 19:00:00, wwf_uk handle of company wwf tweeted. The tweet was "Where are you excited to see switch off this #EarthHour? From <mention> to <mention>, thanks to landmarks all over the country switching off for #EarthHourUK! 🌏 <hyperlink>". This tweet got 214 number of likes. 
3. On 2019-03-25 14:04:04, WWF handle of company wwf tweeted. The tweet was "It’s #EarthHour this Saturday. Join the largest grassroots movement for the planet and switch off for nature 8.30pm your local time. <hyperlink>". This tweet got 310 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
