<|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 2019-12-05 17:00:02, amfam from company american family insurance tweeted. The tweet was "It’s #DeerSeason. Keep an extra eye out and take these steps to avoid an accident. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-11-10 15:00:01, amfam handle of company american family insurance tweeted. The tweet was "It’s that time of year — deer season! Check out our top tips to avoiding deer accidents. <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-10-01 14:00:02, amfam handle of company american family insurance tweeted. The tweet was "We’re here for you. And we’re working hard to support customers impacted by the Northwest wildfires. If you need help or have questions about a claim, please contact us today.  <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-01-22 21:05:56, amfam handle of company american family insurance tweeted. The tweet was "We are grateful the <mention> approached us! We are proud to continue to partner with another brand that has deep roots in Wisconsin history like our own.  We will continue to invest and grow our partnerships in the Milwaukee community. <hyperlink> <hyperlink>". This tweet got 98 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
2<|im_end|>
