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<blockquote data-quote="CherryAA" data-source="post: 1554562" data-attributes="member: 327005"><p>I am not interested in technical explanations of things from scientists or professors. </p><p></p><p>I have read dozens of explanations that saturated fats in food cause fats in the blood stream and ditto for cholesterol - all presumably emanating at some point from someone purporting to be providing reliable data which somehow or other must have ended up in the NIH database, otherwise lower carbs would already have been adopted as standard world wide.</p><p></p><p>Large scale testing inevitably involves making some basic assumptions which may or may not invalidate the tests at an N=1 level . </p><p></p><p>As an example Rapilose the OGTT solution used by doctors has a set of instructions</p><p>1) ensure that the patient has been taking a "normal" diet for three days - what is normal ?</p><p>2) fast for " at least 9 hours" - what about if one did it after 24 hours </p><p>3) the test takes no notice of the body size of the participant. </p><p></p><p>I am an accountant, I specialise in considering the bigger picture based on small samples rather than the other way round. </p><p></p><p>I am interested in real world patterns and N=1 data and and in particular my own n=1 data that I <strong>actually possess</strong> and what it might be telling me - </p><p></p><p>My own choice to move to LCHF was based on 1 single individual's results in a bigger study. She was the only one who had implemented a very low carb diet. I made the leap of faith that despite it not being identified as such, she was also the person in the tables which followed who had reduced Hba1C the most. </p><p></p><p><a href="https://nutritionandmetabolism.biomedcentral.com/articles/10.1186/1743-7075-6-21" target="_blank">https://nutritionandmetabolism.biomedcentral.com/articles/10.1186/1743-7075-6-21</a></p><p></p><p>Looking at those tables again I would also be prepare to take anther leap of faith that whilst participants had improved Hab1C as result of their lower carb diets SHE is also probably at the low end of the range for the triglycerides. ( which did improve on average as well)</p><p></p><p>Having made that leap of faith when I super-impose my own figures on those tables I am also at the same extreme beneficial result for the items they chart. </p><p></p><p>Unfortunately as is the way with nearly all of these studies , the trigs are being ignored as a data set, with the focus instead being on HDL/ LDL . </p><p></p><p>If others check and find similar or opposing patterns at the n=1 level then that is useful to me </p><p></p><p>To be informed about tests which I do not have and which I can no longer obtain that would be relevant to me if only I had had them done at any stage in the last 20 years is not of any practical benefit to me at this point as I determine how my own body reacts to the decision I have taken in the past and am about to take in the future.</p></blockquote><p></p>
[QUOTE="CherryAA, post: 1554562, member: 327005"] I am not interested in technical explanations of things from scientists or professors. I have read dozens of explanations that saturated fats in food cause fats in the blood stream and ditto for cholesterol - all presumably emanating at some point from someone purporting to be providing reliable data which somehow or other must have ended up in the NIH database, otherwise lower carbs would already have been adopted as standard world wide. Large scale testing inevitably involves making some basic assumptions which may or may not invalidate the tests at an N=1 level . As an example Rapilose the OGTT solution used by doctors has a set of instructions 1) ensure that the patient has been taking a "normal" diet for three days - what is normal ? 2) fast for " at least 9 hours" - what about if one did it after 24 hours 3) the test takes no notice of the body size of the participant. I am an accountant, I specialise in considering the bigger picture based on small samples rather than the other way round. I am interested in real world patterns and N=1 data and and in particular my own n=1 data that I [B]actually possess[/B] and what it might be telling me - My own choice to move to LCHF was based on 1 single individual's results in a bigger study. She was the only one who had implemented a very low carb diet. I made the leap of faith that despite it not being identified as such, she was also the person in the tables which followed who had reduced Hba1C the most. [URL]https://nutritionandmetabolism.biomedcentral.com/articles/10.1186/1743-7075-6-21[/URL] Looking at those tables again I would also be prepare to take anther leap of faith that whilst participants had improved Hab1C as result of their lower carb diets SHE is also probably at the low end of the range for the triglycerides. ( which did improve on average as well) Having made that leap of faith when I super-impose my own figures on those tables I am also at the same extreme beneficial result for the items they chart. Unfortunately as is the way with nearly all of these studies , the trigs are being ignored as a data set, with the focus instead being on HDL/ LDL . If others check and find similar or opposing patterns at the n=1 level then that is useful to me To be informed about tests which I do not have and which I can no longer obtain that would be relevant to me if only I had had them done at any stage in the last 20 years is not of any practical benefit to me at this point as I determine how my own body reacts to the decision I have taken in the past and am about to take in the future. [/QUOTE]
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