10-26-2020, 04:47 PM
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I'm sure you all have heard the projections of cases going up as cold weather pushes people indoors.
Florida may be the exception to this, because for much of the state, this is arguably the best time of year to enjoy the outdoors! The only downside is it getting darker earlier.
10-26-2020, 06:55 PM
Location: Davie, FL
2,747 posts, read
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Reputation: 2461
Quote:
Originally Posted by
WRnative
Persons who actually care about your delusional argument can read posts 191 and 192. You implied, cleverly, that the University of Washington's IHME made the 2.2 million COVID-19 U.S. death projection, AFTER I discussed current IHME projections in depth. Your unsuccessful effort was to discredit the IHME projections, by confusing the IHME with Trump "Big Lies." You never mentioned the Imperial College London, which did make that 2.2 million projection. And that projection was irrelevant to IHME, which had nothing to do with the Imperial College London projection. My discussion, which you attempted to refute, was always about the IHME.
And, of course, I read the CATO story. I even quoted the 2.2 million projection in post 198, to demonstrate it came from the Imperial College London.
I don't have time for this patent craziness.
You said it's Trumps big lie. I don't remember Trump saying "IHME" as a source. And now you are admitting that the 2.2M projection, is, in fact, real.
You literally argued it in post 198. And now you are changing the goalposts as if you didn't actually say this... Cool story.
10-26-2020, 08:39 PM
11,610 posts, read
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Reputation: 7217
Quote:
Originally Posted by
BNBR
You said it's Trumps big lie. I don't remember Trump saying "IHME" as a source. And now you are admitting that the 2.2M projection, is, in fact, real.
You literally argued it in post 198. And now you are changing the goalposts as if you didn't actually say this... Cool story.
I never, never, never said the 2.2 million projection didn't happen. I always said it was something that came out of the U.K. Your posts repeatedly try to make it sound like it was a projection of the IHME. It never was, and, as reported in the CATO (a libertarian think tank) report, the IHME forecasts stood in contrast to 2.2 million U.S. death forecast from the Imperial College London. I've repeatedly explained the contrast between the two forecasts, and you completely falsely are saying that I denied the existence of a 2.2 million U.S. death forecast. I didn't, and I don't, but what I've repeatedly said THE BOGUS FORECAST HAS NOTHING TO DO WITH THE HIGHLY RESPECTED IHME FORECASTS. Do you deny this?????
Why do you continue to emphasize the 2.2 million forecast when it has nothing to do with the IHME, as I've repeatedly documented?
Trump continues to say that he saved 2 million lives. So he continues to rely on the bogus Imperial College London forecast.
Your attempt to twist what I said is pathetic, as any objective reader can read both of our posts on this issue and easily recognize your continually deceitfuly representations, especially regarding IHME forecasts. Hopefully, objective readers will recognize your work as that of a "Big Lie" propagandist, continually stating the same falsehoods hoping that they will become credible.
Clearly your goal was discredit the dire IHME forecasts for upcoming months, including the Florida projection of 29,000 deaths by February posted by the IHME. See post 191 and your deceitful post 192 attempting to discredit the IHME by falsely associating the IHME with the bogus 2.2 million death forecast made by Imperial College London. See post 198 for the contrast between the Imperial College London forecast and the IHME forecast.
Last edited by WRnative; 10-26-2020 at 08:48 PM ..
10-26-2020, 08:50 PM
11,610 posts, read
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Reputation: 7217
Quote:
Originally Posted by
BNBR
You said it's Trumps big lie. I don't remember Trump saying "IHME" as a source. And now you are admitting that the 2.2M projection, is, in fact, real.
You literally argued it in post 198. And now you are changing the goalposts as if you didn't actually say this... Cool story.
Trump's Big Lie is that he claims repeatedly to have saved 2 million American lives during the pandemic. And he never discusses the source of the projection to my knowledge.
<<We rate this claim Mostly False.>>
https://khn.org/news/fact-check-pres...es-from-covid/
It's your Big Lie to associate repeatedly the bogus 2.2 million forecast with the respected IHME projections.
10-26-2020, 09:02 PM
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From my post 191:
Quote:
Originally Posted by
WRnative
The Univ. of Washington's acclaimed COVID-19 projections, once used by the Trump adminitration, say 100,000 lives could be saved if 95 percent of Americans wore masks, according to NBC News. A significant percentage of these deaths likely will be in Florida.
https://www.nbcnews.com/nightly-news...on-94623301979
Actually, the projection of lives saved by universal (100 percent) mask wearing is 130,000 lives.
<<Specifically, the paper projected that there could be some half a million Covid-19-related deaths in the U.S. by the end of February, and that some 130,000 of those tragedies might be forestalled with universal mask use. But experts warn that the figures from any of the model’s hypothetical scenarios are less useful than the comparison between the different possibilities. By putting those projections side by side, you can start to see how much of an effect something like mask-wearing might have on a population level, if you take the authors’ estimation that face coverings can reduce an individual’s risk of infection by about 40%.>>
https://www.statnews.com/2020/10/23/...ng-study-says/
Persons seeking to avoid COVID-19 infection prior to the widespread introduction of COVID-19 vaccines, antibody cocktails, and perhaps other anti-viral drugs, should just avoid locations where persons aren't wearing masks.
Figure 1 here shows the relative weakness of social distancing mandates in Florida compared to other states. Figure 2 (enlarge) shows how Florida will have one of the most severe spikes in COVID-19 deaths in the four months ahead, according to the UWA projections.
https://www.nature.com/articles/s41591-020-1132-9#Fig3
The Univ. of Washington's IHME currently projects 29,000 COVID-19 deaths in Florida by Feb. 1 , not Feb. 28.
https://covid19.healthdata.org/unite...aths&tab=trend
Florida soon will join the "top ten" list of most per capita COVID-19 deaths among U.S. states, and may reach top 5 status by the end of February.
https://www.statista.com/statistics/...s-us-by-state/
Several months ago, Floria was faring much better relative to other states.
Your entire post 192 with all of its deceitful craziness:
Quote:
Originally Posted by
BartramBuck
They also used projections for show MILLIONS would now be dead.
But through all their best efforts to inflate the numbers, we are at 230,000 who have died WITH Covid
And about 2 people wo have died BECAUSE of Covid.
This is a referendum on how FAT this country is.
Obesity, diabetes, cancer all pretty much from our HORRENDOUS western diet is why we are dying. Covid is just “another “ thing people are dying WITH because of our inability to eat whole, nutritional foods.
Once they put out the food pyramid and began the greatest experiment ever done on human beings, we were doomed to lower life expectancy.
No politician will fair any better. Not DeSantis, not trump, not Biden, no one, because this is just another thing we will now die from because we can’t push a plate away.
My post 194 responding to your post 192.
Quote:
Originally Posted by
WRnative
The IHME Hybrid model has been very accurate.
https://www.healthdata.org/sites/def...ate_062520.pdf
<< The Institute for Health Metrics and Evaluation COVID19 model is probably the most popular and most accurate empirical model for COVID19 (Institute for Health Metrics Evaluation (IHME), 2020). >>
https://www.frontiersin.org/articles...20.565589/full
Your "millions" claim likely reflects a UK projection if no mitigation procedures were implemented. Hard to tell as you don't substantiate any of your outlandish and false claims.
The rest of your post is similarly inaccurate and ridiculousness.
10-27-2020, 09:13 AM
Location: Davie, FL
2,747 posts, read
2,634,171 times
Reputation: 2461
Quote:
Originally Posted by
WRnative
I never, never, never said the 2.2 million projection didn't happen. I always said it was something that came out of the U.K. Your posts repeatedly try to make it sound like it was a projection of the IHME. It never was, and, as reported in the CATO (a libertarian think tank) report, the IHME forecasts stood in contrast to 2.2 million U.S. death forecast from the Imperial College London. I've repeatedly explained the contrast between the two forecasts, and you completely falsely are saying that I denied the existence of a 2.2 million U.S. death forecast. I didn't, and I don't, but what I've repeatedly said THE BOGUS FORECAST HAS NOTHING TO DO WITH THE HIGHLY RESPECTED IHME FORECASTS. Do you deny this?????
Why do you continue to emphasize the 2.2 million forecast when it has nothing to do with the IHME, as I've repeatedly documented?
Trump continues to say that he saved 2 million lives. So he continues to rely on the bogus Imperial College London forecast.
Your attempt to twist what I said is pathetic, as any objective reader can read both of our posts on this issue and easily recognize your continually deceitfuly representations, especially regarding IHME forecasts. Hopefully, objective readers will recognize your work as that of a "Big Lie" propagandist, continually stating the same falsehoods hoping that they will become credible.
Clearly your goal was discredit the dire IHME forecasts for upcoming months, including the Florida projection of 29,000 deaths by February posted by the IHME. See post 191 and your deceitful post 192 attempting to discredit the IHME by falsely associating the IHME with the bogus 2.2 million death forecast made by Imperial College London. See post 198 for the contrast between the Imperial College London forecast and the IHME forecast.
Lol. You are insufferable. "2.2M forecast exists from UK" ... "Trump references it" ... "Trump is a big liar"
Okie dokie.
10-27-2020, 09:48 AM
11,610 posts, read
10,438,435 times
Reputation: 7217
Quote:
Originally Posted by
BNBR
Lol. You are insufferable. "2.2M forecast exists from UK" ... "Trump references it" ... "Trump is a big liar"
Okie dokie.
I would hope that I am always deemed insufferable to "Big Lie" propagandists who rely on facing few or paltry rebuttals to the deceit, distortions, and too often ridiculousness that they constantly are peddling.
As for Trump:
<<Quinnipiac’s latest polling shows that majorities of Pennsylvania seniors consider Trump a dishonest man who doesn’t care about average Americans.>>
https://www.inquirer.com/news/trump-...-20201018.html
A "dishonest weekend?" I'm curious, do Floridians attending Trump's rallies even believe his falsehoods???
<<Trump has been reliably deceptive for his entire presidency, filling his speeches and tweets with lies and other false statements.
The frequency and magnitude of his deception tends to accelerate, however, during campaign season -- when he complements his usual ad-libbed inaccuracy with a barrage of inaccurate statements that are written into his speech scripts....
Trump claimed in Florida, "Even without the vaccine, the pandemic's going to end. It's gonna run its course. It's gonna end. They'll go crazy. He said 'without the vaccine' -- watch, it'll be a headline tomorrow. These people are crazy. No, it's running its course. We're rounding the turn. You see the numbers, and we're rounding the turn."
Facts First: The numbers -- newly confirmed cases, hospitalizations, the test positivity rate -- were all getting worse, not better, at the time Trump spoke. There was no basis for his vague claim that we were "rounding the turn.">>
https://www.cnn.com/2020/10/19/polit...sin/index.html
Once again, a simple question that you seem unwilling to answer: Do you still maintain falsely that the IHME published the 2.2 million U.S. COVID-19 death forecast, on which Trump relies in his claim that he has saved 2 million American lives?
You have proven that IHME's forecast of 29,000 COVID-19 Florida deaths by February is an ugly challenge for Trump Big Lie propagandists. So you've attempted, hopefully uncessfully, to muddle IHME's exemplary reputation.
Last edited by WRnative; 10-27-2020 at 09:56 AM ..
10-27-2020, 03:34 PM
11,610 posts, read
10,438,435 times
Reputation: 7217
Quote:
Originally Posted by
BNBR
Yawn. I'm not going to read your long winded ranting nonsense.
Gotcha. You prefer pithy deceit with no substantiation.
10-27-2020, 03:53 PM
18,449 posts, read
8,275,501 times
Reputation: 13778
This reads like a Bugs Bunny cartoon....
10-27-2020, 04:01 PM
11,610 posts, read
10,438,435 times
Reputation: 7217
Quote:
Originally Posted by
Corrie22
This reads like a Bugs Bunny cartoon....
Right. A reputable projection of 29,000 COVID-19 deaths in Florida by February is funny stuff. Florida's doctors, nurses, and first responders should be laughing their heads off, right?
Maybe someone should make "Doctor Strangelove II: How I Learned to Stop Worrying and Learned to Love COVID-19."
I wonder if Alec Baldwin would agree to play Trump. We also would need someone as talented as Peter Sellers to play Dr. Scott Atlas. Of course, the movie would need one or more actors to play Fox News anchors, and certainly a character portraying a "Big Lie" social media poster would be essential. We should work a DeSantis character into the story line.
The movie would be an obvious hit in some senior communities. Perhaps in The Villages, they would stream the movie on a 85-inch TV, no masks allowed, in a community room. The Trump cult Boomers could relive their youthful experience watching "The Rocky Horror Picture Show" in a crowded theater. Clearly, this would be the ultimate, interactive event.
Heck, why not set the production in The Villages after a Trump rally!!!
For the youngsters reading this post.
https://en.wikipedia.org/wiki/Dr._Strangelove
https://en.wikipedia.org/wiki/The_Ro...r_Picture_Show
Last edited by WRnative; 10-27-2020 at 04:24 PM ..
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Year householder moved into unit - Moved in 1990 to 1994 (%)
Year householder moved into unit - Moved in 1980 to 1989 (%)
Year householder moved into unit - Moved in 1970 to 1979 (%)
Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
Means of transportation to work - Railroad (%)
Means of transportation to work - Ferryboat (%)
Means of transportation to work - Taxicab (%)
Means of transportation to work - Motorcycle (%)
Means of transportation to work - Bicycle (%)
Means of transportation to work - Walked (%)
Means of transportation to work - Other means (%)
Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
Most Common Industries - Agriculture, forestry, fishing and hunting (%)
Most Common Industries - Mining, quarrying, and oil and gas extraction (%)
Most Common Industries - Construction (%)
Most Common Industries - Manufacturing (%)
Most Common Industries - Wholesale trade (%)
Most Common Industries - Retail trade (%)
Most Common Industries - Transportation and warehousing, and utilities (%)
Most Common Industries - Transportation and warehousing (%)
Most Common Industries - Utilities (%)
Most Common Industries - Information (%)
Most Common Industries - Finance and insurance, and real estate and rental and leasing (%)
Most Common Industries - Finance and insurance (%)
Most Common Industries - Real estate and rental and leasing (%)
Most Common Industries - Professional, scientific, and management, and administrative and waste management services (%)
Most Common Industries - Professional, scientific, and technical services (%)
Most Common Industries - Management of companies and enterprises (%)
Most Common Industries - Administrative and support and waste management services (%)
Most Common Industries - Educational services, and health care and social assistance (%)
Most Common Industries - Educational services (%)
Most Common Industries - Health care and social assistance (%)
Most Common Industries - Arts, entertainment, and recreation, and accommodation and food services (%)
Most Common Industries - Arts, entertainment, and recreation (%)
Most Common Industries - Accommodation and food services (%)
Most Common Industries - Other services, except public administration (%)
Most Common Industries - Public administration (%)
Occupation diversity
Most Common Occupations - Management, business, science, and arts occupations (%)
Most Common Occupations - Management, business, and financial occupations (%)
Most Common Occupations - Management occupations (%)
Most Common Occupations - Business and financial operations occupations (%)
Most Common Occupations - Computer, engineering, and science occupations (%)
Most Common Occupations - Computer and mathematical occupations (%)
Most Common Occupations - Architecture and engineering occupations (%)
Most Common Occupations - Life, physical, and social science occupations (%)
Most Common Occupations - Education, legal, community service, arts, and media occupations (%)
Most Common Occupations - Community and social service occupations (%)
Most Common Occupations - Legal occupations (%)
Most Common Occupations - Education, training, and library occupations (%)
Most Common Occupations - Arts, design, entertainment, sports, and media occupations (%)
Most Common Occupations - Healthcare practitioners and technical occupations (%)
Most Common Occupations - Health diagnosing and treating practitioners and other technical occupations (%)
Most Common Occupations - Health technologists and technicians (%)
Most Common Occupations - Service occupations (%)
Most Common Occupations - Healthcare support occupations (%)
Most Common Occupations - Protective service occupations (%)
Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
Most Common Occupations - Law enforcement workers including supervisors (%)
Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
Most Common Occupations - Personal care and service occupations (%)
Most Common Occupations - Sales and office occupations (%)
Most Common Occupations - Sales and related occupations (%)
Most Common Occupations - Office and administrative support occupations (%)
Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
Most Common Occupations - Installation, maintenance, and repair occupations (%)
Most Common Occupations - Production, transportation, and material moving occupations (%)
Most Common Occupations - Production occupations (%)
Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)