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1. It is widely accepted that the fossil record suffers from various sampling biases – diversity signals through time may partly or largely reflect the rock record – and many methods have been devised to deal with this problem. One widely used method, the ‘residual diversity’ method, uses residuals from a modelled relationship between palaeodiversity and sampling (sampling-driven diversity model) as ‘corrected’ diversity estimates, but the unorthodox way in which these residuals are generated presents serious statistical problems; the response and predictor variables are decoupled through independent sorting, rendering the new bivariate relationship meaningless.
2. Here, we use simple simulations to demonstrate the detrimental consequences of independent sorting, through assessing error rates and biases in regression model coefficients.
3. Regression models based on independently sorted data result in unacceptably high rates of incorrect and systematically, directionally biased estimates, when the true parameter values are known. The large number of recent papers that used the method are likely to have produced misleading results and their implications should be reassessed.
4. We note that the ‘residuals’ approach based on the sampling-driven diversity model cannot be used to ‘correct’ for sampling bias, and instead advocate the use of phylogenetic multiple regression models that can include various confounding factors, including sampling bias, while simultaneously accounting for statistical non-independence owing to shared ancestry. Evolutionary dynamics such as speciation are inherently a phylogenetic process, and only an explicitly phylogenetic approach will correctly model this process.
The researchers ran thousands of simulations to test the data correction method, but found it failed to return correct results in as much as 100 percent of the simulated cases.
Professor Mike Benton, from the School of Earth Sciences at the University of Bristol, said: "The core assumption is that any portion of fossil diversity that can be explained by variations in rock volume should be explained by variations in rock volume. This assumption is based on no evidence.
"At the extreme, if you have no rock you get no fossils. However, there are many cases where two time intervals are represented by the same amount of rock worldwide, and yet fossil diversity varies massively. Explain that."
originally posted by: DeathSlayer
a reply to: PhotonEffect
I did not come here to argue but evolution is full of holes.... now in order to defend this it would takes volumes of info so anyone truly interested in evolution (and I am) should start from the beginning.
This bone ...... not that one but this one......
Science better yet evolution has NOT shown a direct link that man comes from an ape. NOW there have been a few (in the past) that have tried to pass off the skull of "LUCY" as a link but it was found out later that part of th skull had been ADDED TO with a plaster/sheet rock powder meaning ......fraud. I know there are other examples but they too are nothing more than theories and these same theories are challenged by creationist and there are no winners.
BUT if I may add to which will blow some minds....... When God created man and woman in his image...... there were already human beings walking on this rock......hmmmm........ now how can that be?
Dont want to crash the party folks but for decades evolution main goal and the REASON why evolution is so important.....? Destroy God so that he can be removed from all publications and listed as MYTH. Why this would be a way to remove religion from the planet.... BUT we all know evolution (Pro and Con) will go on until times stops! NEVER will evolution CONCERNING MAN be a fact because that would make God a liar......
So I challenge the world to prove evolution with 100% accuracy otherwise..... I will simply ignore and turn the page...
originally posted by: DeathSlayer
a reply to: PhotonEffect
I did not come here to argue but evolution is full of holes....
Science better yet evolution has NOT shown a direct link that man comes from an ape.
NOW there have been a few (in the past) that have tried to pass off the skull of "LUCY" as a link but it was found out later that part of th skull had been ADDED TO with a plaster/sheet rock powder meaning ......fraud.
originally posted by: Joneselius
Is it any wonder that as we come closer to these end times truth is spilling out and knowledge is being increased? I'm sure I've read that somewhere before. Funnily enough he same book tells us of the people who profess to be wise but are instead fools....... Hmmmm...... Wonder what book that was.
Once there is confirmation on giants existing we'll have the missing piece for the Biblical history perspective.
originally posted by: PhotonEffect
a reply to: crayzeed
Yes, I agree with this premise. I don't work with simulations at all so I could definitely be off base with this, but it does seem that certain modelling is designed to achieve or find certain results. If one variable is an assumption due to a gap in knowledge for that variable, then results can be skewed from reality. I believe there are measures in place to account for these statistical errors but in this case it seemed off enough to render the outcomes flat out wrong.
originally posted by: alphabetaone
Well, to be fair, that is exactly a models raison d'etre, to achieve or find certain results. I think the key to the entire anamoly, based upon what they had indicated in the article, were the predictor variables being decoupled through independent sorting. Predictor variables are often coupled with response variables.
Let me provide an example....baking a cake:
The topic is the Cakes recipe
The predictor variable(s) would be the baking time and oven temperature
The response variable(s) would be the cakes moistness, cakes firmness, cakes depth or "fluffiness"
Now, imagine decoupling the predictor variables in the above scenario from the response variables (through independent sorting)....you would be attempting to change a tire based upon the cakes moistness, cakes firmness and cakes depth or "fluffiness"
Do you see what I'm getting at?
At least this is my interpretation.
originally posted by: PhotonEffect
originally posted by: alphabetaone
Well, to be fair, that is exactly a models raison d'etre, to achieve or find certain results. I think the key to the entire anamoly, based upon what they had indicated in the article, were the predictor variables being decoupled through independent sorting. Predictor variables are often coupled with response variables.
Let me provide an example....baking a cake:
The topic is the Cakes recipe
The predictor variable(s) would be the baking time and oven temperature
The response variable(s) would be the cakes moistness, cakes firmness, cakes depth or "fluffiness"
Now, imagine decoupling the predictor variables in the above scenario from the response variables (through independent sorting)....you would be attempting to change a tire based upon the cakes moistness, cakes firmness and cakes depth or "fluffiness"
Do you see what I'm getting at?
At least this is my interpretation.
If I am getting it as you've laid it out, then this seems like a pretty significant decoupling. Is the ultimate result a misclassification of time periods for some fossils?