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Contains information related to marketing campaigns of the user. These are shared with Google AdWords / Google Ads when the Google Ads and Google Analytics accounts are linked together.
90 days
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2 years after last activity
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Used to monitor number of Google Analytics server requests
10 minutes
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Used to distinguish new sessions and visits. This cookie is set when the GA.js javascript library is loaded and there is no existing __utmb cookie. The cookie is updated every time data is sent to the Google Analytics server.
30 minutes after last activity
__utmc
Used only with old Urchin versions of Google Analytics and not with GA.js. Was used to distinguish between new sessions and visits at the end of a session.
End of session (browser)
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Contains information about the traffic source or campaign that directed user to the website. The cookie is set when the GA.js javascript is loaded and updated when data is sent to the Google Anaytics server
6 months after last activity
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2 years after last activity
__utmx
Used to determine whether a user is included in an A / B or Multivariate test.
18 months
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ID used to identify users
2 years
_gali
Used by Google Analytics to determine which links on a page are being clicked
30 seconds
_ga_
ID used to identify users
2 years
_gid
ID used to identify users for 24 hours after last activity
24 hours
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Used to monitor number of Google Analytics server requests when using Google Tag Manager
1 minute
The financial worth of an extra life is interesting to me. This issue comes up a lot in the discussion of launch prices for new drugs…i.e., if the launch price is $250,000, maybe that is OK because an extra year of life is worth at least that much to the patient.
In the most common method of calculation, the analyst studies how much extra salary does an employer have to spend — across the board –to get workers to apply for a risky job. A large employer might have to spend $10 million in salary to recruit workers for a job that has a one chance in a hundred of killing them. Of course the numbers are more complex but this seems to be the general approach.
I am not completely comfortable with this method. I would like to consider a much cheaper method, which is basically to look at how much money the average patient is likely to earn next year. This would be the approximate value to others of an extra year of my life.
Of course this would produce drastically lower valuations. Our valuation of new drugs would start looking like England, where the NHS will often spend no more than $30,000 for a new medication. I am not so sure this is wrong.