<|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 2018-03-24 20:40:00, wwf_uk from company wwf tweeted. The tweet was "A record 400 UK landmarks have switched off for #EarthHourUK this year! All joining thousands of others this #EarthHour across the 🌏, from Sydney’s Opera House to the Great Pyramids. <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2019-03-30 16:29:34, WWF handle of company wwf tweeted. The tweet was "As landmarks across the globe switch off for #EarthHour we hope it inspires you to join the movement and #Connect2Earth with us. Lights out on 30 March at 8.30 pm your local time! <hyperlink>". This tweet got 9867 number of likes. 
3. On 2019-03-25 14:30:00, wwf_uk handle of company wwf tweeted. The tweet was "5 days to go until #EarthHourUK! Will you be switching off your lights for our world? <hyperlink>". This tweet got 168 number of likr 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
532<|im_end|>
