<|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 2020-10-12 03:01:03, PADI from company padi tweeted. The tweet was "Are you diving local this weekend? Let us know where in the comments below! #DiveLocal 📷: IG user arieldemar in Bayahibe, Caribbean <hyperlink>". The most similar tweets were, 
1. On 2019-02-19 09:00:10, PADI handle of company padi tweeted. The tweet was "Is diving in the Caribbean on your bucket list? Make plans to check it off with PADI Travel and enjoy 54% off your dive resort stay! 🐠 <hyperlink> <hyperlink>". This tweet got 70 number of likes. 
2. On 2019-03-21 16:35:08, PADI handle of company padi tweeted. The tweet was "If you're new to diving (or not), keep these things in mind: <hyperlink> <hyperlink>". This tweet got 13 number of likes. 
3. On 2018-11-12 22:00:17, PADI handle of company padi tweeted. The tweet was "Where's your favourite place to dive in the world with your diving buddies? Comment below 👇 <hyperlink>". This tweet got 58 number of likr 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
53<|im_end|>
