<|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 2018-02-26 19:10:30, amfam from company american family insurance tweeted. The tweet was "Are you feeling cabin fever this winter? Check out these fun ways to keep inspired! <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-09 02:00:01, amfam handle of company american family insurance tweeted. The tweet was "When traveling in winter conditions, be sure to stay safe and follow these winter driving tips. <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-09-05 14:00:01, amfam handle of company american family insurance tweeted. The tweet was "School is now in session! Read our tips for keeping everyone safe this season. <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
3. On 2019-04-16 14:00:00, amfam handle of company american family insurance tweeted. The tweet was "With summer just around the corner, it’s the perfect time to get your camper or RV ready for another season of adventures. <hyperlink> <hyperlink>". This tweet got 2 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
1<|im_end|>
