<|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 2020-04-19 13:00:00, BBCArchive from company bbc tweeted. The tweet was "#OnThisDay 1971: Blue Peter demonstrated how kids could cause a commotion in Harpenden with just one phone call. <hyperlink>". The most similar tweets were, 
1. On 2018-11-16 21:16:31, AvivaUK handle of company aviva tweeted. The tweet was "We've taken over 1800 calls for #BBCchildreninneed so far! We're keeping our volunteers topped up with food and drink and we'll be here all night! Please help if you can <hyperlink>". This tweet got 70 number of likes. 
2. On 2018-11-18 15:07:56, IndoEnts handle of company independent tweeted. The tweet was "#WATCH Adorable kids singing Ireland's Call while colouring in will brighten up your Sunday - <hyperlink> <hyperlink>". This tweet got 61 number of likes. 
3. On 2019-03-09 12:45:30, redbullracing handle of company oracle tweeted. The tweet was "RIP headphone users... 🎧😎 #pushtheboundaries <mention> <hyperlink>". This tweet got 2728 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
