<|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 2019-12-30 08:00:00, FedExEurope from company fedex tweeted. The tweet was "As the busy Christmas period draws to an end, we’d like to thank our wonderful team members around the 🌍. Your hard work goes miles. <hyperlink>". The most similar tweets were, 
1. On 2020-03-30 20:46:00, FedExOffice handle of company fedex tweeted. The tweet was "We are open and providing essential services to our customers and the community. For store hours at the location near you please visit <hyperlink> <hyperlink>". This tweet got 866 number of likes. 
2. On 2019-12-19 12:15:56, FedExEurope handle of company fedex tweeted. The tweet was "More than 650 FedEx aircraft are delivering Christmas to the 🌍

So you can afford to take this #OddlySatisfying break. You deserve it. <hyperlink>". This tweet got 1870 number of likes. 
3. On 2020-08-19 13:00:01, FedEx handle of company fedex tweeted. The tweet was "Happy #NationalAviationDay to all the pilots, crew and staff who help us deliver on our promises all across the world. ✈️ 📷: cclearydfw <hyperlink>". This tweet got 214 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
234<|im_end|>
