# data[].attributes.body
Most likely to incorporate a puppy into their PT session

# data[].attributes.body
GoFundMe for the Surgery

# data[].attributes.headline
most likely to have more caffeine in their body than blood.

# data[].attributes.subject
most likely to have more caffeine in their body than blood.

# data[].attributes.headline
most likely to not be here right now. And if he was here, he damn sure wouldn't be on time

# data[].attributes.subject
most likely to not be here right now. And if he was here, he damn sure wouldn't be on time

# data[].attributes.headline
most likely to have a fully stocked hardware store in their backpack. 

# data[].attributes.subject
most likely to have a fully stocked hardware store in their backpack. 

# data[].attributes.headline
most likely to be tickled to death. No really.

# data[].attributes.subject
most likely to be tickled to death. No really.

# data[].attributes.headline
most likely the first person to get Medicare benefits

# data[].attributes.subject
most likely the first person to get Medicare benefits

# data[].attributes.headline
Most likely to dance with your mom at your wedding (respectfully)

# data[].attributes.subject
Most likely to dance with your mom at your wedding (respectfully)

# data[].attributes.headline
Most likely to cancel someone for no reason 

# data[].attributes.subject
Most likely to cancel someone for no reason 

# data[].attributes.headline
Most likely to suggest ice cream but make you think it was your idea

# data[].attributes.subject
Most likely to suggest ice cream but make you think it was your idea

# data[].attributes.headline
Most likely to be a DJ (play mixtape below after) 

# data[].attributes.subject
Most likely to be a DJ (play mixtape below after) 

# data[].attributes.headline
Most likely to know exactly what is going on at all times

# data[].attributes.subject
Most likely to know exactly what is going on at all times

# data[].attributes.headline
most likely to take their grandma on their bachelorette trip

# data[].attributes.subject
most likely to take their grandma on their bachelorette trip

# data[].attributes.body
Most likely to still be pretty without facial hair.

# data[].attributes.headline
Most likely to be on the cover of a magazine 

# data[].attributes.subject
Most likely to be on the cover of a magazine 

# data[].attributes.headline
Most likely to be watching sports during class

# data[].attributes.subject
Most likely to be watching sports during class

# data[].attributes.headline
Most likely to be drafted to war by the wheel of fortune (death)

# data[].attributes.subject
Most likely to be drafted to war by the wheel of fortune (death)

# data[].attributes.headline
Most likely to crack open a Celsius during a quiet moment in class 

# data[].attributes.subject
Most likely to crack open a Celsius during a quiet moment in class 

# data[].attributes.body
Least likely to be in class.

# data[].attributes.headline
Most likely to drink hot coffee at the gym

# data[].attributes.subject
Most likely to drink hot coffee at the gym

# data[].attributes.body
Most likely to say “hey, I have that” when learning about it diagnoses in class

# data[].attributes.body
Most likely to have the dogs out.

# data[].attributes.body
Most likely to think they’re whispering while actually yelling.

# data[].attributes.headline
most likely to get denied by insurance for spelling errors

# data[].attributes.subject
most likely to get denied by insurance for spelling errors

# data[].attributes.body
Most likely to eat out every day of the week.

# data[].attributes.body
Most likely to sleep in their car for fun.

# data[].attributes.headline
Most likely to start a drink every single day but never finish it

# data[].attributes.subject
Most likely to start a drink every single day but never finish it

# data[].attributes.headline
Most likely to doodle in class (give me a prompt) 

# data[].attributes.subject
Most likely to doodle in class (give me a prompt) 

# data[].attributes.headline
most likely to give a hard side eye when someone is talking during class

# data[].attributes.subject
most likely to give a hard side eye when someone is talking during class

# data[].attributes.headline
Most likely to pack up before a teacher is done speaking

# data[].attributes.subject
Most likely to pack up before a teacher is done speaking

# data[].attributes.headline
Most likely to bring bonus pants to a practical 

# data[].attributes.subject
Most likely to bring bonus pants to a practical 

# data[].attributes.headline
Most likely to stop at the Harris Teeter bar after a day in the clinic

# data[].attributes.subject
Most likely to stop at the Harris Teeter bar after a day in the clinic

# data[].attributes.headline
most likely to go for a quick run during a class break

# data[].attributes.subject
most likely to go for a quick run during a class break

# data[].attributes.body
Most likely to remove patient's shoes during a shoulder exam

# data[].attributes.body
Most likely to own 500+lbs of dogs

# data[].attributes.headline
Most likely to be wearing a thrift shop find 

# data[].attributes.subject
Most likely to be wearing a thrift shop find 

# data[].attributes.headline
Most likely to have a non-clinical job after PT school 

# data[].attributes.subject
Most likely to have a non-clinical job after PT school 

# data[].attributes.headline
Most Likely to go to Chick-fil-a for lunch 

# data[].attributes.subject
Most Likely to go to Chick-fil-a for lunch 

# data[].attributes.headline
Most likely to be disappointed when the coffee machine is out of order

# data[].attributes.subject
Most likely to be disappointed when the coffee machine is out of order

# data[].attributes.body
Most likely to laugh in a serious moment

# data[].attributes.headline
Most likely to recommend aquatic therapy for every single patient. 

# data[].attributes.subject
Most likely to recommend aquatic therapy for every single patient. 

# data[].attributes.headline
Most likely to be an Elon dance team member after retirement . . .

# data[].attributes.subject
Most likely to be an Elon dance team member after retirement . . .