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Title:
Normalization of Deviation
Topic:
How human factors makes us accept shortcuts that we later perceive as normal until disaster strikes.
Date and Time:
Tuesday, September 29, 2020, starting at 19:00 Pacific Daylight Time (20:00 MDT; 21:00 CDT; 22:00 EDT; 16:00 HST; 18:00 AKDT; 19:00 Arizona; Wednesday, September 30, 2020 02:00 GMT)
Speaker(s):
George Michelogiannakis, Arthur Hayssen, Jim McCord
Brief Description:

Murphy's law is wrong. What can go wrong usually doesn't and the outcome is favorable. The problem is that this causes us to conclude that our actions must had been correct, since the outcome was good. This rationalization is the beginning of the process where a new normal is established that accepts shortcuts to safety and standard operating practices.

This webinar will discuss famous examples of this happening, how human factors and external pressures combine to, in time, create a new norm. We will discuss how common pilot thinking is a contributing factor. Finally, we will present some countermeasures.

Normalization of deviation is a large factor in mishaps so expect an eye-opening discussion where you can reflect on your own habits and practices.

Select Number:
WP27101726
Webinar Information

Please register for Normalization of Deviation on Sep 29, 2020 7:00 PM PDT at:

 

https://attendee.gotowebinar.com/register/8232949964279370255

 

After registering, you will receive a confirmation email containing information about joining the webinar.

 


Seating:
Check Additional event Information below for possible registration requirements.
Registration Information:
Seminar has passed.
Sponsoring Division:
FAASTeam
Contact Information:
GEORGIOS MICHELOGIANNAKIS
Phone: (650) 336-8105
mixelogj13@yahoo.co.uk
Additional Event Information & Acknowledgement of Industry Sponsor(s):

We acknowledge FAASTeam for supporting this event.

Credit Applicability:
Basic WINGS
½ Credit for Basic Knowledge Topic 1
½ Credit for Basic Knowledge Topic 3
FAASTeam Project Information:
National Project:
Any Safety Event held based upon data/risk
Additional Event Documents: