New York State
The Recommendation Section
Even with the amount of time many of us have on our hands right now, the sheer volume of content available can be overwhelming. How is anyone supposed to know what to watch, listen to, or even (gasp) read?
Worry no more, us noble, humble curators of content at The Reference Section, are here to help.
Thomas: Dark Matter a novel by Blake Crouch
Dark Matter is a Sci-Fi thriller that starts relatively show, but quickly ricochets into an unrelenting pace. Once things start to take off, it grips you and never lets you go again.
The story follows Jason Dresden, an average physics professor, working at an average university in Chicago. Despite his (relative) professional mediocrity, he is extremely happy. He has an amazing relationship with his wife and son, and genuinely loves his job.
So, what happens when he wakes up and finds himself in a Chicago, almost identical to the one he knows and loves, with some notable exceptions. He is now one of the most successful scientists in the world, but he no longer has his family.
What distinguishes Dark Matter from the millions of other stories like it are that Jason immediately wants his original life back, and will go to whatever lengths to do so.
The entire novel is very good, with a moderately interesting take on a common story, but in the third act, Crouch adds a twist that takes the entire book from very good, to excellent.
Mike: It’s Always Sunny in Philadelphia (Streaming on Hulu)
Created by Rob McElhenney Sunny premiered all the way back in 2005 and is still running today, fifteen years and three Presidents later. Starring McElhenney as Mac, Charlie Day as Charlie, Glenn Howerton Dennis Reynolds and Kaitlin Olsen as Deandra “Sweet Dee” Reynolds, the show follows the many misadventures of a group of degenerates, and their father/friend Frank Reynolds (Danny DeVito) in the city of Philadelphia.
This is the type of show it is easy to get lost in, but it is also perfect for casual watching too. If you’re in need of a quick laugh, throw on a random episode.