<|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 2018-07-14 16:00:31, PADI from company padi tweeted. The tweet was "You scream, we scream, we all scream for #PADIWomensDiveDay! It's just a week away 😱. Find an event near you here: <hyperlink>

📷: Rocio Gajon <hyperlink>". The most similar tweets were, 
1. On 2020-03-08 15:00:07, PADI handle of company padi tweeted. The tweet was "It's official! Where will you be? #padiwomensdiveday <hyperlink>". This tweet got 85 number of likes. 
2. On 2019-07-19 20:00:09, PADI handle of company padi tweeted. The tweet was "Who are the fearless #padiwomen you'll be diving with this Saturday July 20th 👯? 📷: <mention> <hyperlink>". This tweet got 94 number of likes. 
3. On 2020-05-08 18:03:25, PADI handle of company padi tweeted. The tweet was "RT if you miss your local PADI Dive Shop! <hyperlink>". This tweet got 94 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
50<|im_end|>
