<|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 2019-11-17 18:53:05, BBCEarth from company bbc tweeted. The tweet was "Nature is beautiful 😍
#SevenWorldsOnePlanet <hyperlink>". The most similar tweets were, 
1. On 2020-05-22 10:35:53, wwf_uk handle of company wwf tweeted. The tweet was "Our planet is full of so many incredible species! 😍 #WorldBiodiversityDay <hyperlink>". This tweet got 297 number of likes. 
2. On 2018-04-22 04:00:08, NatGeo handle of company national geographic tweeted. The tweet was "It's #EarthDay and we're ready to spend the next 24 hours appreciating all the beauty and wonder of our planet <hyperlink>". This tweet got 2863 number of likes. 
3. On 2019-11-24 19:12:50, wwf_uk handle of company wwf tweeted. The tweet was "Nature can be restored when given a fighting chance! See below how its already happening 👇#SevenWorldsOnePlanet #ShareOurPlanet <hyperlink>". This tweet got 265 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
