<|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 2020-07-14 08:00:00, BBCSpringwatch from company bbc tweeted. The tweet was "I'm never inviting the neighbours over for lunch again - they eat with their mouths open don't even say thank you! 😆🦡 #Springwatch <hyperlink>". The most similar tweets were, 
1. On 2020-12-04 10:38:30, timhortonsuk handle of company tim hortons tweeted. The tweet was "<mention> Us tempting you to ignore your lunch time meetings: <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-01-07 15:24:30, CBellRacing handle of company bell tweeted. The tweet was "Eating an early lunch on my way to <mention>, any suggestions <mention> ?! <hyperlink>". This tweet got 185 number of likes. 
3. 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. 
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
