<|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 2020-08-09 12:30:00, BBCArchive from company bbc tweeted. The tweet was "#OnThisDay 1972: Residents of Bushey in Hertfordshire had some very big, unsightly pylons in their gardens. Still, it was all for the greater good... wasn't it? <hyperlink>". The most similar tweets were, 
1. On 2020-10-05 20:19:40, wwf_uk handle of company wwf tweeted. The tweet was "Bugingham Palace! 👏

A great example of one of the many ways we can all help nature on our doorstep. #APlanetForUsAll
<hyperlink>". This tweet got 450 number of likes. 
2. On 2019-08-13 02:22:30, CameronMaybin handle of company cameron tweeted. The tweet was "Gleybs lookin’ like post-Thanksgiving 😂 He been eating 💯🔥<hyperlink>". This tweet got 7191 number of likes. 
3. On 2019-06-04 18:39:02, HobbyLobby handle of company hobby lobby tweeted. The tweet was "Brighten your garden with gazing balls. 50% off right now. <hyperlink> <hyperlink>". This tweet got 8 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
