11-23-2020, 02:20 PM
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Quote:
Originally Posted by
BuyBuyBuy?
The COVID death number is clearly inflated, but it's impossible to know by how much. The vast majority of people aren't questioning whether COVID is real (it clearly is), but whether the unprecedented restrictions on life, liberty and the pursuit of happiness are (1) effective and (2) justified. At this point, it certainly looks like the virus is going to run its course, and lockdowns, masks, etc. are shockingly not very effective. And it isn't because people aren't complying with restrictions like mask mandates, 90%+ appear to be doing so. If masks were effective, we wouldn't be having this "Second Wave", or whatever it is you want to call it.
Take California for example, a State with 40 million people living in it. There are currently around 5,000 people in the hospital due to COVID in the entire state and they are headed back into lockdown, which didn't really work the first time.
The math is actually pretty simple on what the right solution is, but it's not necessarily intuitive to a population that doesn't understand basic statistics. From the beginning we should have just isolated the vulnerable (for example, well over 50% of COVID deaths are from people that were living in nursing homes) and let the generally healthy go about their lives. This would have actually saved more lives than general lockdowns etc. but politics and virtue signaling by power-hungry politicians got in the way.
Agree to disagree.
1. The number of COVID deaths is understated, not inflated. Through October, there have been an 300,000 “excess” deaths vs a typical year in the US. The largest population with excess deaths are younger (under 45) Hispanic people which makes sense because large family gatherings are where the virus is spreading rapidly.
2. Isolating all high risk individuals would have left very few people out of isolation. And I doubt many folks would have enjoyed hearing, “you’re obese which is the #1 comorbidity with Covid so stay home or lose 100 pounds and your skinny coworkers will cover for you this year.” 70 MILLION American adults are obese. 34 MILLION are diabetic. 1 IN 2 ADULTS has hypertension. Many of those population counts overlap but it’s safe to say that over half the country is high risk for Covid complications & death due to their poor health.
3. Nowhere near 90% of Americans wear masks & social distance on a regular basis - or properly. The Dallas County number is somewhere around 55%. If we can get back to 65% compliance (which is where we were after the July mask mandate), this wave will recede. No one was ever counting on 100% compliance because, duh, Americans.
11-23-2020, 02:22 PM
Location: North Texas
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I have to disagree. Epidemiologists are actually saying there are likely more deaths from COVID-19 than recorded. Also, when you look at the data of these spikes, they correlate with holidays and events where people are not wearing masks and social distancing. We are seeing a spike right now because people have grown fatigued by all of this so they are not following CDC guidelines and recommendations. Lastly, most states determine whether to lockdown based on the bed capacity of hospitals. For example, Texas will start increasing restrictions if more than 15% of hospital beds are filled with COVID patients in a triage area. I believe DFW has been hanging out around 12%. Yet, nurses and doctors will tell you that they are already becoming overwhelmed in the area.
We can't shut down nursing homes and let everyone else go about their business. Not all vulnerable people live in nursing homes. My father lives with us and he is considered high risk. While I am not considered high risk, I cannot risk getting ill and passing it onto my father. Many other people are in the same predicament.
11-23-2020, 02:56 PM
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No one said all vulnerable people live in nursing homes, that is just an obvious example and is an extremely low-hanging fruit. Also, just being overweight does not put you in a meaningful high risk category. Are you higher risk than someone that is not overweight, sure, just like any other sickness, but the risk is still very tiny. It's people with multiple co-morbidities that are doing most of the dying.
Again, it would be great if lockdowns and masks worked, but the data just isn't showing that. Compare any similarly situated states/countries and it doesn't seem to matter how draconian the lockdown was, or when and how stringently enforced mask mandates were implemented. The virus generally has the same effect.
One big problem with how this developed is how strong a position many public figures took when we only had extremely terrifying (and it turns out completely incorrect) information from China. As time has gone on and the facts have come out, they can't walk their position back without losing face, so instead they are doubling down on ineffective policies.
Not sure where you got 55% compliance from, but I'm out every day and it's almost 100% compliance in every inside space I go to. Outside is a bit less but the odds of catching COVID by walking past someone outside is almost zero.
Someone pointed out that over 500,000 Americans die every year due to heart disease and another 500,000 due to cancer. Sadly COVID is not our most pressing health issue, but we've gone blind to considering any other risks in our zealous focus on COVID.
11-23-2020, 03:25 PM
8,146 posts, read
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Reputation: 2718
Quote:
Originally Posted by
BuyBuyBuy?
No one said all vulnerable people live in nursing homes, that is just an obvious example and is an extremely low-hanging fruit. Also, just being overweight does not put you in a meaningful high risk category. Are you higher risk than someone that is not overweight, sure, just like any other sickness, but the risk is still very tiny. It's people with multiple co-morbidities that are doing most of the dying.
Again, it would be great if lockdowns and masks worked, but the data just isn't showing that. Compare any similarly situated states/countries and it doesn't seem to matter how draconian the lockdown was, or when and how stringently enforced mask mandates were implemented. The virus generally has the same effect.
One big problem with how this developed is how strong a position many public figures took when we only had extremely terrifying (and it turns out completely incorrect) information from China. As time has gone on and the facts have come out, they can't walk their position back without losing face, so instead they are doubling down on ineffective policies.
Not sure where you got 55% compliance from, but I'm out every day and it's almost 100% compliance in every inside space I go to. Outside is a bit less but the odds of catching COVID by walking past someone outside is almost zero.
Someone pointed out that over 500,000 Americans die every year due to heart disease and another 500,000 due to cancer. Sadly COVID is not our most pressing health issue, but we've gone blind to considering any other risks in our zealous focus on COVID.
Cancer and heart disease are not contagious.
11-23-2020, 03:30 PM
26 posts, read
34,189 times
Reputation: 92
Quote:
Originally Posted by
serger
Cancer and heart disease are not contagious.
True!
11-23-2020, 03:40 PM
26 posts, read
34,189 times
Reputation: 92
Okay. I realize that at this point, almost no one is going to change their mind about lockdowns, mask mandates, etc. due to how invested everyone is in their current opinion. I'll leave you with this:
Kansas is an interesting case study as counties could opt in or out of the mask mandate. The CDC announced two days ago that the mask mandate in Kansas helped slow the spread of COVID, based on a "study" that "ended" on August 23:
https://thehill.com/homenews/state-w...9-cdc-research
August 23rd seems like a weird date to end this kind of "study", given that we are at the end of November, what's happened since then?
https://twitter.com/boriquagato/stat...750657/photo/1
Interesting, masks now appear to have had no effect whatsoever. The information is out there if you know where to look.
11-23-2020, 03:58 PM
577 posts, read
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Reputation: 539
Quote:
Originally Posted by
TurtleCreek80
Sure....CDC estimates annual flu deaths for the past decade averaged 36,000 per year (range 12k-63k). So COVID has in 10 months (excluding peak flu season months of December & January which haven’t registered covid deaths yet obviously) killed between 7X the amount of people who die from the seasonal flu each year.
9/11 was such a significant event that the US government was reorganized with DHS’s creation and a total overhaul of safety and security measures in airports and other public/federal facilities. That was a national security event and this is a national health event so yes, they’re obviously different.
I'm aware of how many people die from the flu, it's just odd when people start making comparisons about the number of COVID deaths, the flu is generally not a part of the conversation.
The flu kills more than 10x the number of people who died in 9/11 per year and nobody really bats an eye.
Quote:
Originally Posted by
TurtleCreek80
But it shouldn’t be a surprise that the response would be this strong to control COVID. The countries with the strongest responses have done much better at having normal economic and social activity between waves and have had much less death per capita than the US.
Debatable. The UK, Italy, and Spain had harder lockdowns, but saw just as many deaths and I believe France is up there as well.
11-23-2020, 05:57 PM
13,194 posts, read
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Reputation: 13142
Quote:
Originally Posted by
BuyBuyBuy?
Not sure where you got 55% compliance from, but I'm out every day and it's almost 100% compliance in every inside space I go to. Outside is a bit less but the odds of catching COVID by walking past someone outside is almost zero.
55% is the Dallas County health number based on GPS and other data.
Do see huge groups of twenty-somethings who don’t live together out for brunch, laughing and talking loudly and maybe even sharing appetizers or taking a sip of someone else’s cocktail?
Do you see big groups of middle schoolers at sleepovers? Or at overnight lacrosse tournaments?
Do you see birthday parties still happening at places like Play Street Museum where almost no parents or kids are wearing masks?
Do you see inside your neighbors’ homes when their 20+ family members come over for birthday parties or Thanksgiving dinner on Thursday?
Do you see families insisting that their kids have their own homecoming parties or other events even if the school has cancelled the official one?
My Facebook feed is full of people doing these things every damn week. And not just in Dallas.
These are places where no one is wearing a mask and Covid is spreading like wildfire. No one is getting random Covid at the grocery store and according to our pediatrician, no one is getting it at school either. It’s all of the other stuff that no one will stop doing that is the problem. WFAA has featured one Arlington (I think?) family that gathered for a birthday party last month and 15 family members got Covid. Only 13 were actually at the party. We have extended family who all just got Covid at a child’s birthday party that we declined to attend.
11-23-2020, 05:59 PM
13,194 posts, read
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Reputation: 13142
Quote:
Originally Posted by
DPatel304
Debatable. The UK, Italy, and Spain had harder lockdowns, but saw just as many deaths and I believe France is up there as well.
I was more thinking about Asian & Pacific countries that not only did lockdowns to begin with but put in place world class “test and trace” initiatives. South Korea, New Zealand, Australia, Singapore.
11-23-2020, 06:25 PM
577 posts, read
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Reputation: 539
Quote:
Originally Posted by
TurtleCreek80
I was more thinking about Asian & Pacific countries that not only did lockdowns to begin with but put in place world class “test and trace” initiatives. South Korea, New Zealand, Australia, Singapore.
I'm not sure you can compare the US to smaller island nations like New Zealand and Australia. A number of Asian countries have handled this extremely well, I'm just not sure it was reasonable to expect people in the US or Europe to be as compliant as they are in Asia.
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Occupied housing units (%)
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Educational Attainment - No schooling completed (%)
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Urban houses (%)
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Mortgage status - with mortgage (%)
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Geographical mobility - Same house 1 year ago (%)
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Housing units in structures - 1, detached (%)
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Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
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Occupation diversity
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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 (%)