# data[].attributes.headline
Footprint looked like flour, same footprint was found outside Starbucks, and suspect was found on security camera.

# data[].attributes.subject
Footprint looked like flour, same footprint was found outside Starbucks, and suspect was found on security camera.

# data[].attributes.headline
math poem- could it have been Ms. smith or Ms. Allen

# data[].attributes.subject
math poem- could it have been Ms. smith or Ms. Allen

# data[].attributes.headline
If they like Starbucks, why do they have another brands coffee mug

# data[].attributes.subject
If they like Starbucks, why do they have another brands coffee mug

# data[].attributes.body
if so how did they get a CA hat

# data[].attributes.headline
Is this person trying to use it as a holiday present?

# data[].attributes.subject
Is this person trying to use it as a holiday present?

# data[].attributes.headline
Cary Academy hat was there, do they like the chargers?

# data[].attributes.subject
Cary Academy hat was there, do they like the chargers?

# data[].attributes.headline
The footprint looked like a high heel, so we need to know who wears high heels.

# data[].attributes.subject
The footprint looked like a high heel, so we need to know who wears high heels.

# data[].attributes.headline
Could the plastic salsa dancer thing be something like on top of a wedding cake?

# data[].attributes.subject
Could the plastic salsa dancer thing be something like on top of a wedding cake?

# data[].attributes.headline
Did they have anything that was angry at Ms. Shipp and Ms. Levinthal

# data[].attributes.subject
Did they have anything that was angry at Ms. Shipp and Ms. Levinthal

# data[].attributes.headline
what is there license plate number and car/motorcycle type if they used one to get away

# data[].attributes.subject
what is there license plate number and car/motorcycle type if they used one to get away

# data[].attributes.headline
Did any one see the person, and/or help them steal the Karaoke machine? Also, where are they hiding it?

# data[].attributes.subject
Did any one see the person, and/or help them steal the Karaoke machine? Also, where are they hiding it?

# data[].attributes.body
That where here on sunday at 7:28pm

# data[].attributes.headline
Where does the criminal teach, if he or she is even a teacher? 

# data[].attributes.subject
Where does the criminal teach, if he or she is even a teacher? 

# data[].attributes.headline
You could study the fingerprints, on anything that he/she touched to gather more data.

# data[].attributes.subject
You could study the fingerprints, on anything that he/she touched to gather more data.

# data[].attributes.headline
Who originally owned the machine and did anybody have anything against them?

# data[].attributes.subject
Who originally owned the machine and did anybody have anything against them?

# data[].attributes.headline
Where did the suspect go after he/she went to the Starbucks?

# data[].attributes.subject
Where did the suspect go after he/she went to the Starbucks?

# data[].attributes.headline
Who had access to the fishbowl at the time of the crime?

# data[].attributes.subject
Who had access to the fishbowl at the time of the crime?

# data[].attributes.headline
How did he get into the school/fishbowl?

# data[].attributes.subject
How did he get into the school/fishbowl?

# data[].attributes.headline
Why was the machine in the fishbowl in the first place?

# data[].attributes.subject
Why was the machine in the fishbowl in the first place?

# data[].attributes.headline
Who has access to the Fishbowl at the time of the crime

# data[].attributes.subject
Who has access to the Fishbowl at the time of the crime

# data[].attributes.headline
More information about Starbucks preferences

# data[].attributes.subject
More information about Starbucks preferences

# data[].attributes.headline
The five W's: Who, What, Where, When and Why? Also...How

# data[].attributes.subject
The five W's: Who, What, Where, When and Why? Also...How