<|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 2020-01-25 21:00:00, BBCEarth from company bbc tweeted. The tweet was "When they get your order wrong...
#EarthsTropicalIslands <hyperlink>". The most similar tweets were, 
1. On 2020-08-13 18:16:33, amazon handle of company amazon tweeted. The tweet was "Spotted inside one of our UK fulfillment centers. #WorldMaskWeek <hyperlink>". This tweet got 280 number of likes. 
2. 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. 
3. On 2018-03-21 19:17:02, wwf_uk handle of company wwf tweeted. The tweet was "The countdown to #EarthHour is on! In 3 days time millions across the globe will be switching off to show they care about our planet - will you be one of them? 🌏 #EarthHourUK <hyperlink>". This tweet got 200 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
