<|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 2018-03-20 00:00:42, BBCEarth from company bbc tweeted. The tweet was "Snow White. A deer in the snow in Bushy Park, London
#EarthCapture by <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-11-12 03:46:13, LindseyEatoNews handle of company eaton tweeted. The tweet was "Realizing it's only November and I'm standing in snow. 

<mention> | #INwx <hyperlink>". This tweet got 68 number of likes. 
2. On 2020-04-28 08:30:00, Independent handle of company independent tweeted. The tweet was "Deer spotted roaming UK high street at night <hyperlink>". This tweet got 266 number of likes. 
3. On 2018-02-28 13:35:53, Independent handle of company independent tweeted. The tweet was "Brilliant time lapse shows London coated in heavy snowfall ❄️ <hyperlink>". This tweet got 127 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
