What's new
New posts
New media
New media comments
New profile posts
New review items
Latest activity
Forums
New posts
Search forums
Gallery
New media
New comments
Search media
Reviews
New items
Latest content
Latest reviews
Latest questions
Brands
Search reviews
Opus
Birds & Bird Song
Locations
Resources
Contribute
Recent changes
Blogs
Members
Current visitors
New profile posts
Search profile posts
ZEISS
ZEISS Nature Observation
The Most Important Optical Parameters
Innovative Technologies
Conservation Projects
Log in
Register
What's new
Search
Search
Search titles only
By:
New posts
Search forums
Menu
Log in
Register
Install the app
Install
BirdForum is the net's largest birding community dedicated to wild birds and birding, and is
absolutely FREE
!
Register for an account
to take part in lively discussions in the forum, post your pictures in the gallery and more.
Forums
Birding
Birds & Birding
What Would You Do: Someone badly misidentifying birds on a list
JavaScript is disabled. For a better experience, please enable JavaScript in your browser before proceeding.
You are using an out of date browser. It may not display this or other websites correctly.
You should upgrade or use an
alternative browser
.
Reply to thread
Message
<blockquote data-quote="jurek" data-source="post: 3669484" data-attributes="member: 3357"><p>Your story of Willow Tits is a perfect example of very common mistake coming in publications which used big data: bad results based on little data are published along good results based on good data. And at the end, both are treated as good.</p><p></p><p>I guess the project had lots of valid data points for common species like, say, Robin. For species with little data, like Willow Tit, errors were sometimes sufficent to confuse the picture. But good and bad was published together, and some reader will later pick only Willow Tit and believe nonsense.</p><p> </p><p>Unfortunately, many 'assurances' which people believe about big data points are not true:</p><p>- More data does not mean less mistakes. It simply means propagation of errors to a bigger magnitude.</p><p>- That most data is true, does not mean that minority of bad data will not spoil results.</p><p>- That somebody verifies data by eye and removes ones which look bad is not making data much better. Because one is really producing data set based on his pre-conception. When one finds something new in that data, how do we know whether it is real or an error not filtered because was not expected? When one does not find something, maybe it was hidden by mistake? </p><p></p><p>I wanted once to write some article or something to a bird magazine 'what mistakes people make when using big databases of bird records' but never got to it. So this little post must be enough...</p><p></p><p>But coming back to the humble topic, whether a birder can trust ebird when looking for a new bird. My private rule of thumb is to trust the place to go for a new bird only if there are at least 5 records coming from at least 4 different people, and if there is more similar places with the same bird around. Unless I know the birder by name.</p></blockquote><p></p>
[QUOTE="jurek, post: 3669484, member: 3357"] Your story of Willow Tits is a perfect example of very common mistake coming in publications which used big data: bad results based on little data are published along good results based on good data. And at the end, both are treated as good. I guess the project had lots of valid data points for common species like, say, Robin. For species with little data, like Willow Tit, errors were sometimes sufficent to confuse the picture. But good and bad was published together, and some reader will later pick only Willow Tit and believe nonsense. Unfortunately, many 'assurances' which people believe about big data points are not true: - More data does not mean less mistakes. It simply means propagation of errors to a bigger magnitude. - That most data is true, does not mean that minority of bad data will not spoil results. - That somebody verifies data by eye and removes ones which look bad is not making data much better. Because one is really producing data set based on his pre-conception. When one finds something new in that data, how do we know whether it is real or an error not filtered because was not expected? When one does not find something, maybe it was hidden by mistake? I wanted once to write some article or something to a bird magazine 'what mistakes people make when using big databases of bird records' but never got to it. So this little post must be enough... But coming back to the humble topic, whether a birder can trust ebird when looking for a new bird. My private rule of thumb is to trust the place to go for a new bird only if there are at least 5 records coming from at least 4 different people, and if there is more similar places with the same bird around. Unless I know the birder by name. [/QUOTE]
Insert quotes...
Verification
Post reply
Forums
Birding
Birds & Birding
What Would You Do: Someone badly misidentifying birds on a list
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.
Accept
Learn more...
Top