Number of Responder Per Question

This week I looked at the number of responders per question. For Tuesday, I only was able to record the number of people I observed editing questions. The results are below:

Google Doc Class, Tuesday.
Question 1: 9
Question 2: 4
Question 3: 7
Question 4: 6
Question 5: 6
Question 6: 7
Average: 6.5

Thursday.
Question 1: 5
Question 2: 1
Question 3: 3
Question 4: 3
Question 5: 3
Question 6: 2
Question 7: 8
Question 8: 4
Question 9: 3
Question 10: 4
Question 11: 1
Average: 4.2

Time Between Question and Answer

On Tuesday and Thursday I observed the time between a question was finished being asked by Dr. Sample, and when a student began to give an answer. This data is below:

Tuesday times between question and answer (seconds): 3, 9, 6, 2, 8, 4, 2, 8, 11, 16, 5, 4, 6, 17, 9, 1

Tuesday average = 6.4 seconds

Thursday times between question and answer: 7, 6, 17, 5, 4, 11, 2, 13

Thursday average = 8.1 seconds.

Fitness Trackers and Insurance Companies

http://img2.wikia.nocookie.net/__cb20130207064022/creepypasta/images/a/a8/Precipice.jpg
http://img2.wikia.nocookie.net/__cb20130207064022/creepypasta/images/a/a8/Precipice.jpg

When I was younger, I always wanted a trampoline. Each year for my birthday and Christmas, I would always write it on my list even though my parents had already explained that our insurance company wouldn’t allow it. Presumably, if they somehow found out we had a trampoline in our backyard, rates would skyrocket in preparation for the eminent injury that would occur as a result of its use. Fitness trackers may pose a similar threat. Though only touched on in a single paragraph by Marwic in “How Your Data Are Being Deeply Mined” fitness trackers may pose a future threat to buyers of health-insurance.

It is well known that previous or current health conditions are considered by health insurance companies before they prescribe a rate to consumers. Fitness trackers can observe and store data on diet, exercise, sleep, and several other factors that can all be predictors of a person’s general well being. Many trackers today also connect to applications that are in some way connected to the internet and social networks. This opens the door for data mining of one’s fitness data. This is a slippery slope as fitness data may be sold to insurance companies who may use it to make insurance rate decisions even in the absence of preexisting conditions. While I am unaware of any current application along these lines, I have no doubt that as our technology continues to develop, situations such as this will arise.