HealthCare OpenData shows cost of pregnancy at men aged 76 are the highest in the Dutch city of Lelystad

A Dutch organisation by the name Vektis recently published an open-data file showing the costs that healthcare insurers have paid in 2012. With this data set, Vektis aims to help stake holders gain a better understanding with the ultimate goal to improve quality and cost of #healthcare.

Dutch RTL Nieuws analysed the raw data and published several articles about this (link, in dutch) and aired it on their prime time TV news last night.

So did I, but from a different angle:

Vektis raw data reveals 56 men, aged 76, within the dutch city of Lelystad who expensed 2,002.29 euro for cost of maternity and obstetric healthcare. Can we conclude that 76 year old men in Lelystad expense an average of 35,76 euro for pregnancy?

I don’t think so.

The raw data of Vektis contains 40 records where male people have submitted expense reports for maternity and obstetric care, totalling 20,627 euro.

The data does not show how many expense reports were filed, nor by how many people. Therefore we have to be very very careful to draw conclusions.

How accurate is the Vektis data?

Link to Vektis spreadsheet 

Link to Vektis CSV 

Detailed background info (in Dutch)

IPad IOS 8.0 update: why I never do (dot null) releases

 I should have known better. Things that used to work fine, no longer do.

Google streetviewing a property: boom!


Writing a blog post about this: now became annoying

1. Cursor gone
2. Focus gone
3. Selections wrong

Under Jobs they used to do a better job...

(Or should I blame Google?)

Uncovering what lies beneath...

Clarification for Information Leakage: A trusted US business partner of mine asked me for assistance. He needed help in identifying the source of a potential information leak for one of his customers.

As everyone knows, the behaviour of regular business users is rather predictable. This predictability can be visualised and wrapped in a bubble allowing for granular and non-granular analysis.  

With the image below, I created a non-granular view where each bubble represents a user's normal interactions. Even with a casual glance you can immediately see how one bubble stands out from the others.

This visualization provides clear evidence of one individual who had accessed the contents of more than 2,500 mail files of other employees in the organisation. 

In greater detail, each bubble in the above image represents a single user who accesses a particular number of databases.  Each type of database is given a designated color, described in the legend.  The entire visualization represents the activity of 5,000 users inside the organization's IBM Domino collaboration environment.

Some of you may have noticed the second largest bubble (in the blue bubbles). This represents the activity by a well-known performance monitoring tool.

A forensics engagement like this typically takes about one to two weeks to perform with a lead time < 24 hours. All of the work is performed remotely, with the exception of the data collection (online screen sharing session, appr. 1 hour) and presentation of findings (again online screen sharing session).

Experimental Visualisation of the IPV4 Address Space

Thank you Leo from ANL for collecting this data :-)

How to DOS your Imac

Have your keyboard, mouse and trackpad all connect via bluetooth.
Next, click the bluetooth icon, turn it off and discard the warning dialog that tells you why you should not be doing this.

Plugging in a usb-mouse didn't work. Remote access could have, so I guess I should enable this.