<|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 2019-04-23 17:20:07, BBCEarth from company bbc tweeted. The tweet was "An encounter with a hare is no bad thing 😍
#EarthCapture by <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-10-16 10:04:00, NatGeo handle of company national geographic tweeted. The tweet was "Female hares box with potential suitors before choosing whether to mate with them <hyperlink>". This tweet got 3330 number of likes. 
2. On 2020-09-08 20:00:21, PADI handle of company padi tweeted. The tweet was "Has anyone spotted a sea hare on their dives before? 🎥: <mention> <hyperlink>". This tweet got 563 number of likes. 
3. On 2019-05-15 18:09:06, BornFreeFDN handle of company free tweeted. The tweet was "#Hares are becoming a rare sight in the UK. In 1880 there were 4 million of them, but now only 800,000 remain. They're threatened by habitat loss, infectious diseases and #hunting, with 300,000 hares shot every year. Please #RT &amp; read more info: <hyperlink> #wildlife <hyperlink>". This tweet got 189 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
