Dear Colleagues
What does a ship accident report have to do with minerals exploration? Some researchers in our field have look at how people behave to data or information available to them to build an understanding of 'where they are'. EJ Holden at the CET University of Western Australia, has passed along studies which show it is proven than people often see what they expect and literally ignore other information. The 'dancing gorillas' one such example of this. There are a number of articles on the internet about this; one is attached below. https://www.dailymail.co.uk/sciencetech/article-1378228/Didnt-spot-dancing-g orilla-famous-YouTube-video.html The present story could be called a variant on this where it was observed that the crew of a modern Norwegian frigate in a well-controlled sea lane mistook a slow moving oil tanker for a stationary vessel and ended up colliding with the tanker, resulting in the frigate sinking. The observation was that once the deck crew of the frigate decided the tanker was stationary all evidence to the contrary was ignored until it was too late. The short video below outlines how events unfolded that night about one year ago. https://gcaptain.com/investigation-video-details-helge-ingstad-collision-mus t-watch/?utm_source=feedburner <https://gcaptain.com/investigation-video-details-helge-ingstad-collision-mu st-watch/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Gcaptai n+%28gCaptain.com%29&goal=0_f50174ef03-879d137338-170099169&mc_cid=879d13733 8&mc_eid=f8296f48ad> &utm_medium=feed&utm_campaign=Feed%3A+Gcaptain+%28gCaptain.com%29&goal=0_f50 174ef03-879d137338-170099169&mc_cid=879d137338&mc_eid=f8296f48ad How does the gorillas or vessels at sea have to do with exploration? When we are confronted large amounts of data, which at the beginning, might be viewed as contradictory information, plus a limited time frame to make an assessment, experience often is called upon to allow us to build a 'working model' of the situation so we can manage the task quickly and efficiently. If however, we either ignore what could be key data we were not expecting (gorillas) or define a model we believe correct but is not, we then tend to continue to support the incorrect model at the expense of ignoring new data. I draw these observations and some 'loose' conclusions as I have observed over a long period that in exploration, experienced people are not always the making the best decisions, in part because maybe they have 'seen it all' and in effect turn off much of the data/information that is available to them. Younger people are more likely to show overconfidence and so also can get blind-sided. In a world where being able to walk down the hall to ask a colleague for their take on a situation gets harder and harder, having access to a second opinion can be invaluable. Added to this, it can be difficult for junior staff to tell a senior member 'they are wrong' or 'missed something' (this is another major issue in many accident reports). I have been thinking that this could be a valuable role for AI as it could allow an unbiased opinion to be presented which uses all the data and does not have a dog in the fight as it were. Consider this Siri on steroids. Trygge reisers. Ken 2019-Condor's 20th Anniversary Condor Consulting, Inc St 150 2201 Kipling St Lakewood CO 80215 USA T: 303-423-8475 Condor North Consulting St 1112 1030 West Georgia St Vancouver BC V6E 2Y3 T: 604-630-8334 E: <mailto:[email protected]> [email protected] C: 303-520-5732 Skype-ken.witherly1 <http://www.condorconsult.com/> www.condorconsult.com
----------------------- SEGMIN community mailing list service ([email protected]). Change your personal options here: https://lists.geosoft.com/mailman/options/segmin/archive%40mail-archive.com Colleagues can join here: https://lists.geosoft.com/mailman/listinfo/segmin Archives: https://lists.geosoft.com/mailman/private/segmin/ NOTE that <Reply> will reply to all members of the list.
