dataguy
Member-
Posts
13 -
Joined
dataguy's Achievements
Newbie (1/14)
1
Reputation
-
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
You and I know that low IQ is the major cause of poverty but the general population (that includes the vast majority of professionals) DOES NOT. When I bring this topic up the general comments focus on IQ tests are biased towards minorities and that poverty, poor parenting, inadequate schools, poor nutrition, and the list goes on are the major causes of poor performance on IQ tests. When I ask if there is a reasoned way to test cognitive ability there answer is no and the vast majority of them will always point out that low IQ scores are do to environmental causes. When I say that IQ is about 80% determined by one's genetics and I can provide evidence from the majority of experts who study intelligence, the anger starts and emotion flows forward and reasoned discussion ends. DATAGUY -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
Most of my friends and associates do not have an "automatic" IQ detector. For the most part they associate low IQ with poverty and or lack of education. Many of my friends and colleagues have accused me of being a racist or white supremist when I broach the topic of IQ and no longer associate or talk to me. My wife and I are shunned in our community for our views on IQ. I am one tough son of a bitch and I do not back down on bringing up how important IQ is not only from a medical standpoint but for life in general. What I am suggesting is that IQ is a very important health indicator and it should be part of a patient's medical history. -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
someone asked how a doctor knows a patient's IQ. In most cases they do not. In my humble opinion they should. Complex medical instructions to someone with a low IQ (less than 85) might not be understood . DATAGUY -
Thanks, Do you think its an accurate statement when Stefan Molyneux associates the square root law with Pareto rather than Price.
-
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
What kind of coordination do you suggest? DATAGUY -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
Hi Barn, As I pointed out in my introductory comments, one can search the database I created by time of day, week, longitude and latitude, temperature , and so on. In medicine, one publishes their findings in a journal for providing others with facts that might improve health care. If some of their data is faulty, or not inclusive enough, and their conclusions have limitations, a letter to the editor, comments directed directly to the authors, or a new study is undertaken to point out potential problems in their research. DATAGUY -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
ticketyboo The above medical study was just one example of the TREND in medical studies to consider sex, race, and ethnicity as a potential risk factor in a particular disease/procedure outcome. Many disease are caused by several factors (multifactorial) and in the study the statistical expression is often called a risk factor. For example if you have a risk factor of 2 this means you will have twice the chance of getting the disease compared to someone who does not have that risk factor. In the vast majority of cases SES (social economic status) and education are risk factors the authors look at. It has been my thesis that poverty (low SES) and lack of education are correlative factors (they are symptoms not causal) and that IQ is the most likely causative factor. My original entry (rant) covered this topic in some detail. To reiterate, IQ is never considered and therein lies the rub. The medical community is scared shitless, to be crude, to consider IQ. Often the conclusion of these medical studies is to suggest poverty and poor education opportunity are a major risk factors and that more money be spent on governmental health assist programs and better educational choices will improve outcomes.. That advice is often misguided and counterproductive. I have been contacting the medical community to include IQ in their studies. As of todate, I have not received and feedback, pro or con, on my suggestion. This was one of the reasons I turned to the Freedomain community for help and suggestions. DATAGUY -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
This is one of the latest articles (From BMC Cancer Journal ,2017.) I just reviewed this medical study for possible entry into my database. I would estimate that close to 20% of medical type of data has ethnicity, race, and or sex in the title. I will have more to say about this trend later. DATAGUY Childhood cancer incidence by ethnic group in England, 2001–2007: a descriptive epidemiological study Shameq Sayeed1, Isobel Barnes1 and Raghib Ali1,2* Abstract Background: After the first year of life, cancers are the commonest cause of death in children. Incidence rates vary between ethnic groups, and recent advances in data linkage allow for a more accurate estimation of these variations. Identifying such differences may help identify potential risk or protective factors for certain childhood cancers. This study thus aims to ascertain whether such differences do indeed exist using nationwide data across seven years, as have previously been described in adult cancers. Methods: We obtained data for all cancer registrations for children (aged 0–14) in England from January 2001 to December 2007. Ethnicity (self-assigned) was established through record linkage to the Hospital Episodes Statistics database or cancer registry data. Cancers were classified morphologically according to the International Classification of Childhood Cancer into four groups – leukaemias; lymphomas; central nervous system; and other solid tumours. Age standardised incidence rates were estimated for each ethnic group, as well as incidence rate ratios comparing each individual ethnic group (Indian, Pakistani, Bangladeshi, Black African, Black Carribean, Chinese) to Whites, adjusting for sex, age and deprivation. Results: The majority of children in the study are UK born. Black children (RR = 1.18, 99% CI: 1.01–1.39), and amongst South Asians, Pakistani children (RR = 1.19, 99% CI: 1.02–1.39) appear to have an increased risk of all cancers. There is an increased risk of leukaemia in South Asians (RR = 1.31, 99% CI: 1.08–1.58), and of lymphoma in Black (RR = 1.72, 99% CI: 1.13–2.63) and South Asian children (RR = 1.51, 99% CI: 1.10–2.06). South Asians appear to have a decreased risk of CNS cancers (RR = 0.71, 99% CI: 0.54–0.95). Conclusions: In the tradition of past migrant studies, such descriptive studies within ethnic minority groups permit a better understanding of disease incidence within the population, but also allow for the generation of hypotheses to begin to understand why such differences might exist. Though a major cause of mortality in this age group, childhood cancer remains a relatively rare disease; however, the methods used here have permitted the first nationwide estimation of childhood cancer by individual ethnic group. Keywords: Childhood cancer incidence, England, Ethnic minorities * Correspondence: [email protected] 1Cancer Epidemiology Unit, University of Oxford, Richard Doll Building, Oxford OX3 7LF, UK 2Public Health Research Center, New York University Abu Dhabi , Abu Dhabi, United Arab Emirates © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
The women (mixed race) in the TED talk uses the exception rule. most blacks are not of mixed race, particularly in other countries like Nigeria, Ethiopia, well you get the drift. Sure there are taller women than men, but for every women over 6 feet there are 2000 men. The epidemiology data I collect by race and ethnicity is not just data from the USA but from studies and registries from specific countries all over the world. To suggest or imply that looking at race/sex has no value in understanding medical outcomes is a great example of emotion overcoming the facts based on hard evidence. Muslims in the middle east have a tradition of marrying first or second cousins (30-60%) which involved genetic problems in offspring. Birth defects, psychological and mental issues are found at much higher rates. i believe the women in the TED talk was a layer. She might ask one of her colleagues if a doctor treated someone and he/she that did not take sex or race into consideration how the doctor might fair in court if it can be shown that race/sex does matter? DATAGUY -
race, ethnicity, gender, IQ and medical research
dataguy replied to dataguy's topic in General Messages
why do you consider my actions good comedy. good comedy makes people laugh and relax. Bad medical diagnosis can result in considerable harm. Dataguy -
both to stephen an the freedomain community
-
Hi everyone, I have sent these comments to over 100 medical journals and as of today I have receive no feedback. I created one of the largest commercial epidemiology databases and have been reviewing the data in clinical articles for over thirty years (over 50,000 articles). One can search the database for over 300 diseases and procedures by sex, race, ethnicity, SES, education, time of day or year, age, weight, country and the list goes on. One variable that is NEVER considered is IQ/mental ability. It is my assessment that this variable is important to consider. Individuals with a low IQ often make "unhealthy" choices. Different populations (race, ethnicity, cultures) have different mean IQ's and this risk factor, could in part, explain differences in health outcomes in various populations. The current political environment will not allow for one to consider IQ as a potential risk factor for any health outcome or for that matter any difference in outcomes. Why? One reason is that one risks being fired from their job or called a racist, simply for even suggesting this hypothesis. I am not a racist. I am 78 years old and some of my relatives were killed in concentration camps during WW II. Because of cognitive dissonance, many Jews did not leave Germany at the cost of their lives. I believe we have cognitive dissonance when it comes to IQ. Are we to believe Natural selection impacts all aspects of human traits except cognitive ones? Are we to believe different outcomes are only a function of social/economic/cultural inequalities? If you/we believe this to be the only answer, who will be the next victims of those who demand social justice when there may, in fact, be no injustice? The bald fact that social pressure serves to prevent research in understanding how mental ability impacts our health is a very dangerous sign for the well- being of our society. Will you speak up or stay quiet? Effective treatment depends on an accurate diagnosis. I was taught to "seek the truth and it will set you free." What have you been taught
-
Stephen, Parero's law is the 20 80 rule. Price's law states that the 50% of the productivity of a given group is based on the Square root of the poulation of that group. In other words 10 people out of 100 are responsible for 50% of the productivity.