<|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 2019-02-26 18:48:32, UPSAirlines from company ups tweeted. The tweet was "Please welcome our newest crewmembers &amp; flight qualified managers to the <mention> family! They’ve been assigned to each of our fleet types &amp; will be domiciled across the country. #ProudUPSers <hyperlink>". The most similar tweets were, 
1. On 2020-05-07 12:01:33, UPSAirlines handle of company ups tweeted. The tweet was "Please help us welcome our five new crew members to <mention>. These pilots will on the <mention> 757/767 fleet and domiciled in SDF. ✈️ <hyperlink> <hyperlink>". This tweet got 85 number of likes. 
2. On 2018-01-16 14:00:38, UPSAirlines handle of company ups tweeted. The tweet was "Please join us in welcoming our newest class of <mention> pilots. ✈️ #avgeeks #ProudUPSers <hyperlink>". This tweet got 92 number of likes. 
3. On 2018-01-05 14:01:21, UPSAirlines handle of company ups tweeted. The tweet was "Please join us in welcoming our newest class of 2018 <mention> pilots. ✈️ #avgeeks #ProudUPSers <hyperlink>". This tweet got 149 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
87<|im_end|>
