<|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 2019-01-27 18:30:31, KFCBarstool from company kfc tweeted. The tweet was "Whenever I go through the TSA scanner and I put my hands over my head I automatically say “the Roc is in the building!” in my head <hyperlink>". The most similar tweets were, 
1. On 2020-03-30 20:34:57, CiscoCanada handle of company cisco tweeted. The tweet was "Thank you to the doctors and medical professionals who are risking their health and safety to save the lives of others. On #NationalDoctorsDay, and every day, we are so grateful for you. 👩‍⚕️🩺🧑‍⚕️ <hyperlink>". This tweet got 4 number of likes. 
2. On 2019-11-07 03:14:42, CBCOlympics handle of company cbc tweeted. The tweet was "Get those alarms set⏰ 

<mention> takes on Korea at the WBSC Premier 12 qualifying event for #Tokyo2020 at 4:40amET

Watch➡️<hyperlink> <hyperlink>". This tweet got 83 number of likes. 
3. On 2020-10-27 00:27:23, CiscoCanada handle of company cisco tweeted. The tweet was "Shout out to all the Cisco 🎃s on #NationalPumpkinDay <hyperlink>". This tweet got 3 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
