VenusPrincess

19 minutes ago, joigus said:

Let me get the full import of that... OK, special requires special. OK. (I'm a little obtuse, you know.) I don't know, but it just so happens that whenever you don't quote a paper, you sound pretty dumb.

So you're criticizing my prose rather than it's meaning? Seems pretty immature to me. Correct ideas need not be eloquent.

Yes, indeed, special cases often require special treatment.

23 minutes ago, joigus said:

That, if taken seriously, can put people's lives at risk. You've just crossed the line between being just dumb and being dumb and dangerous. Some people may even think that you know what you're talking about.

Vaccinating fatties and geezers will do the trick for the most part. Immunocompromised people are special cases who may or may not be best served by getting vaccinated right now. These are complicated matters.

21 minutes ago, beecee said:

That's a totally ignorant statement, more akin to the nonsense that the previous Idiot the US had for a President would babble on about.

Had my first Astro jab...had my flu shot...wife has had her first...Son completed both jabs as he is in the catagory of "front line workers"

... Is that supposed to be an argument? Your family was vaccinated, and therefore what I said is nonsense... what?

20 minutes ago, CharonY said:

And of course you are missing the point again. All evidence indicates that the available COVID-19 vaccines protect against both, disease as well as infection. I.e. it is not leaky.

The word you're looking for is transmission, not infection. You don't even understand the basics. 

20 minutes ago, Sensei said:

Why am I feeling that you are mixing vaccines with antibiotics.. ? Indeed unfinished, interrupted, or overused by medics and agricultural industry, antibiotics treatments, can lead to creation of antibiotics-resistant species..

 

stupid

2 minutes ago, joigus said:

So immunosuppressed people who've had an organ transplant and loaded with cyclosporine have nothing to fear. Thank you!!! That's a relief. It's good to have experts like you telling us all what's right and wrong. After all, you can link to a paper!!!

Special cases should be treated specially, did you expect me to enumerate all of them? Don't be obtuse. Being a fattie or a geezer are the most common risk factors.

26 minutes ago, CharonY said:

Here, the risk is that vaccines can suppress symptoms but may still allow spread, which otherwise would not happened as the host would die beforehand.

This demonstrates a profound inability to understand the subject material. The problem is that leaky vaccines could allow more virulent versions of a virus to survive, not that nonsense you just spouted.

4 minutes ago, MigL said:

Vaccination doesn't just protect you.
It reduces the amount of viral shedding, when you are infected, such that you have less severe symptoms, and those exposed to you also experience milder symptoms.

3 minutes ago, Sensei said:

You should be vaccinated not only to protect yourself against viruses, but mostly to protect other people against you.

This is a prime example of being just smart enough to have an infantile grasp of a complex topic but not smart enough to truly understand it.

Imperfect Vaccination Can Enhance the Transmission of Highly Virulent Pathogens (plos.org)

Quote

Could some vaccines drive the evolution of more virulent pathogens? Conventional wisdom is that natural selection will remove highly lethal pathogens if host death greatly reduces transmission. Vaccines that keep hosts alive but still allow transmission could thus allow very virulent strains to circulate in a population. Here we show experimentally that immunization of chickens against Marek's disease virus enhances the fitness of more virulent strains, making it possible for hyperpathogenic strains to transmit. Immunity elicited by direct vaccination or by maternal vaccination prolongs host survival but does not prevent infection, viral replication or transmission, thus extending the infectious periods of strains otherwise too lethal to persist. Our data show that anti-disease vaccines that do not prevent transmission can create conditions that promote the emergence of pathogen strains that cause more severe disease in unvaccinated hosts.

This chicken vaccine makes its virus more dangerous | PBS NewsHour

Quote

The deadliest strains of viruses often take care of themselves — they flare up and then die out. This is because they are so good at destroying cells and causing illness that they ultimately kill their host before they have time to spread.

But a chicken virus that represents one of the deadliest germs in history breaks from this conventional wisdom, thanks to an inadvertent effect from a vaccine. Chickens vaccinated against Marek’s disease rarely get sick. But the vaccine does not prevent them from spreading Marek’s to unvaccinated birds.

“With the hottest strains, every unvaccinated bird dies within 10 days. There is no human virus that is that hot. Ebola, for example, doesn’t kill everything in 10 days.”

In fact, rather than stop fowl from spreading the virus, the vaccine allows the disease to spread faster and longer than it normally would, a new study finds. The scientists now believe that this vaccine has helped this chicken virus become uniquely virulent. (Note: it only harms fowl). The study was published on Monday in the journal PLOS Biology.

23 minutes ago, iNow said:

Ignorant lies. At least you’re consistent in your posting style, but it’s a shame you feel the need to spread such remedially false disinformation. 

From Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-Analysis, and Public Policy Implications

Quote

Our analysis finds a exponential relationship between age and IFR for COVID-19. The estimated age-specific IFR is very low for children and younger adults (e.g., 0.002% at age 10 and 0.01% at age 25) but increases progressively to 0.4% at age 55, 1.4% at age 65, 4.6% at age 75, and 15% at age 85. Moreover, our results indicate that about 90% of the variation in population IFR across geographical locations reflects differences in the age composition of the population and the extent to which relatively vulnerable age groups were exposed to the virus.

From Certain Medical Conditions and Risk for Severe COVID-19 Illness | CDC

Quote

Overweight (defined as a body mass index (BMI) > 25 kg/m² but < 30 kg/m²), obesity (BMI ≥30 kg/m² but < 40 kg/m²), or severe obesity (BMI of ≥40 kg/m²), can make you more likely to get severely ill from COVID-19.  The risk of severe COVID-19 illness increases sharply with elevated BMI.

On 4/19/2021 at 12:14 PM, swansont said:

Logic and critical thinking didn't get them to their position. Logic and critical thinking won't get them out of it.

 

 

You are a victim of this as well.

What a shame that nobody actually read the article.

Quote

Data logs recovered so far show Autopilot was not enabled & this car did not purchase FSD. Moreover, standard Autopilot would require lane lines to turn on, which this street did not have.

Completely unnecessary to get vaccinated if you aren't fat or an old geezer.

15 minutes ago, zapatos said:

This is the kind of place top high schools send their best players.

See below, emphasis mine.

5 hours ago, J.C.MacSwell said:

They would struggle against a top high school boys team.

17 minutes ago, zapatos said:

In addition the game was a friendly warmup.

Do you believe those women would voluntarily bear the embarrassment of losing to teenage boys if they could have prevented it? Your grasp on reality is weak, arguably even pathological or indicative of mental illness. This is why some people will never vote liberal despite agreeing with many of their other policies. Such a shame that a party with many good ideas is sullied by mentally unwell people.

1 hour ago, iNow said:

Please tell me you don’t really believe this

From FC Dallas under-15 boys squad beat the U.S. Women's National Team in a scrimmage - CBSSports.com in 2017:

Quote

 

In preparation for two upcoming friendlies against Russia, the U.S. women’s national team played the FC Dallas U-15 boys academy team on Sunday and fell 5-2, according to FC Dallas’ official website. 

This friendly came as the U.S. looked to tune up before taking on Russia on Thursday night in a friendly.

Just last month the U.S. lost the SheBelieves Cup, winning the first game over Germany 1-0 before losing to England (1-0) and France (3-0).

Of course, this match against the academy team was very informal and should not be a major cause for alarm. The U.S. surely wasn’t going all out, with the main goal being to get some minutes on the pitch, build chemistry when it comes to moving the ball around, improve defensive shape and get ready for Russia.

 

59 minutes ago, zuikaku said:

Hello,

Gene for cataract is located on X chromosome. This disease is gonosomally recessive. Let's say two healthy parents have twins (both males - sons). I am supposed to decide whether those twins are monozygotic or dizygotic if: A) both sons have cataract; B) one son is healthy, the other one has cataract; C) both sons are healthy

Also could you decide in this case about twins being monozygotic/dizygotic if they were females? 

Thank you for your help

If any of the sons has cataracts and the parents are healthy then the parents must be heterozygotes. Now if the twins are dizygotic the probability that both sons will have cataracts is 1/16, the probability that only one son will have cataracts is 3/8, and the probability that both sons will be healthy is 9/16. If however the twins are monozygotic then the probability that both sons will have cataracts is 1/4, the probability that only one son will have cataracts is 0, and the probability that both sons will be healthy is 3/4.

Then P(monozygotic |  both sons have cataracts) = P(both sons have cataracts | monozygotic) / P(both sons have cataracts) and by Bayes' theorem:

P(monozygotic |  both sons have cataracts) = 1/4 / (1/4 * P(monozygotic) + 1/16 * P(dizygotic)) and by pattern matching:

P(dizygotic |  both sons have cataracts) = 1/16 / (1/4 * P(monozygotic) + 1/16 * P(dizygotic))

so that it's 4 times more likely that they are monozygotic. I was able to do these deductions and calculations almost instantly despite not being an expert in genetics, so you should be able to figure it out if you have decent mathematical aptitude.

Edit: Actually since it's located on the X chromosome and the mother is healthy the sons will always be healthy unless there are mutations... so the question makes no sense.

2 hours ago, Phi for All said:

!

Moderator Note

Since this wasn't the OP's violation, I'm unlocking the thread, and instead giving a warning point for soapboxing to VenusPrincess. My bad.

If you aren't willing to answer questions about your stance, please don't make it part of your arguments. Thread open again.

 

A warning point for not divulging sensitive personal details about the basis for my gender identity? Would you like to tell us the basis for your gender identity? Idiot.

Ah, took a look at your profile... communications major. What's the matter, you weren't smart enough for physics? I work in a field that requires real aptitude and when communications majors apply I throw their resume in the trash.

3 minutes ago, zapatos said:

You're dodging my question and answering  one I didn't ask so you can pontificate. Don't waste my time. If you just want to preach then  say so.

If I answer your question you'll use the basis for my gender identity to claim that I don't believe any other basis is valid. So I won't answer. Is there any other point to your question than to trap me? I have zero faith in your ability to be intellectually honest so I won't even give you that ammunition.

6 minutes ago, zapatos said:

You promised to answer my question.

I did. If a person's gender is dependent upon their belief then the basis for my own gender identity may not be the same as theirs, so your attempt to suss out a "simple and scientific" basis for my own identity is a waste of time as it would not necessarily concede a rejection of a more complicated basis for anyone else's identity if the basis truly is arbitrary. See how confusing things become when we let people define words however they'd like?

4 minutes ago, iNow said:

I gave examples of it being surmounted. Just because you found one specific example where it wasn’t doesn’t magically render my rebuttal invalid. 

I said insurmountable and systematic. My example shows a systematic difference which is typical in athletics. Your examples are in fact the ones which are specific, anecdotal, and not observed at the highest levels of performance.

14 minutes ago, iNow said:

Either way, you’re boring and I’m done. 

Reality can be boring. While your fantasies may be more interesting, nature cannot be fooled.

4 minutes ago, iNow said:

Insurmountable? Lol. I don’t think that word means what you think it means.

Men 100m sprint:

Rank	Mark	WIND	Competitor	DOB	Nat	Pos		Venue	Date	Results Score
1	9.58	+0.9	Usain BOLT	21 AUG 1986	JAM	1		Olympiastadion, Berlin (GER)	16 AUG 2009	1356
2	9.69	+2.0	Tyson GAY	09 AUG 1982	USA	1		Shanghai (CHN)	20 SEP 2009	1316
2	9.69	-0.1	Yohan BLAKE	26 DEC 1989	JAM	1		Stade Olympique de la Pontaise, Lausanne (SUI)	23 AUG 2012	1316
4	9.72	+0.2	Asafa POWELL	23 NOV 1982	JAM	1f1		Stade Olympique de la Pontaise, Lausanne (SUI)	02 SEP 2008	1305
5	9.74	+0.9	Justin GATLIN	10 FEB 1982	USA	1		Suhaim bin Hamad Stadium, Doha (QAT)	15 MAY 2015	1298
6	9.76	+0.6	Christian COLEMAN	06 MAR 1996	USA	1f		Khalifa International Stadium, Doha (QAT)	28 SEP 2019	1291
7	9.78	+0.9	Nesta CARTER	11 OCT 1985	JAM	1		Guidobaldi, Rieti (ITA)	29 AUG 2010	1283
8	9.79	+0.1	Maurice GREENE	23 JUL 1974	USA	1f3		Athina (GRE)	16 JUN 1999	1280
9	9.80	+1.3	Steve MULLINGS	29 NOV 1982	JAM	1		Hayward Field, Eugene, OR (USA)	04 JUN 2011	1276
10	9.82	+1.7	Richard THOMPSON	07 JUN 1985	TTO	1f2		Port-of-Spain (TTO)	21 JUN 2014	1269
11	9.84	+0.7	Donovan BAILEY	16 DEC 1967	CAN	1		Olympic Stadium, Atlanta, GA (USA)	27 JUL 1996	1262
11	9.84	+0.2	Bruny SURIN	12 JUL 1967	CAN	2		La Cartuja, Sevilla (ESP)	22 AUG 1999	1262
11	9.84	+1.3	Trayvon BROMELL	10 JUL 1995	USA	1h4		Hayward Field, Eugene, OR (USA)	25 JUN 2015	1262
14	9.85	+1.2	Leroy BURRELL	21 FEB 1967	USA	1f3		Stade Olympique de la Pontaise, Lausanne (SUI)	06 JUL 1994	1259
14	9.85	+1.7	Olusoji Adetokunbo FASUBA	09 JUL 1984	NGR	1		Doha (QAT)	12 MAY 2006	1259
14	9.85	+1.3	Michael RODGERS	24 APR 1985	USA	2		Hayward Field, Eugene, OR (USA)	04 JUN 2011	1259
17	9.86	+1.2	Carl LEWIS	01 JUL 1961	USA	1		Olympic Stadium, Tokyo (JPN)	25 AUG 1991	1255
17	9.86	-0.4	Frank FREDERICKS	02 OCT 1967	NAM	1f1		Lausanne (SUI)	03 JUL 1996	1257
17	9.86	+1.8	Ato BOLDON	30 DEC 1973	TTO	1		Walnut, CA (USA)	19 APR 1998	1255
17	9.86	+0.6	Francis OBIKWELU	22 NOV 1978	POR	2		Olympic Stadium, Athina (GRE)	22 AUG 2004	1255
17	9.86	+1.4	Keston BLEDMAN	08 MAR 1988	TTO	1f2		Port-of-Spain (TTO)	23 JUN 2012	1255
17	9.86	+1.3	Jimmy VICAUT	27 FEB 1992	FRA	2		Paris (FRA)	04 JUL 2015	1255
17	9.86	+0.9	Noah LYLES	18 JUL 1997	USA	1		Shanghai Stadium, Shanghai (CHN)	18 MAY 2019	1255
17	9.86	+0.8	Divine ODUDURU	07 OCT 1996	NGR	1		Austin, TX (USA)	07 JUN 2019	1255
17	9.86	+1.6	Michael NORMAN	03 DEC 1997	USA	1f3		AP Ranch, Fort Worth, TX (USA)	20 JUL 2020	1255
26	9.87	+0.3	Linford CHRISTIE	02 APR 1960	GBR	1		Gottlieb-Daimler Stadion, Stuttgart (GER)	15 AUG 1993	1252
26	9.87	-0.2	Obadele THOMPSON	30 MAR 1976	BAR	1		SGJ, Johannesburg (RSA)	11 SEP 1998	1253
26	9.87	-0.1	Ronnie BAKER	15 OCT 1993	USA	1		Stadion Śląski, Chorzów (POL)	22 AUG 2018	1252
29	9.88	+1.8	Shawn CRAWFORD	14 JAN 1978	USA	1		Eugene, OR (USA)	19 JUN 2004	1248
29	9.88	+1.0	Walter DIX	31 JAN 1986	USA	2f2		Luzern (SUI)	08 AUG 2010	1248
29	9.88	+0.9	Ryan BAILEY	13 APR 1989	USA	2		Guidobaldi, Rieti (ITA)	29 AUG 2010	1248
29	9.88	+1.0	Michael FRATER	06 OCT 1982	JAM	2		Stade Olympique de la Pontaise, Lausanne (SUI)	30 JUN 2011	1248
33	9.89	+1.6	Travis PADGETT	13 DEC 1986	USA	1qf2		Eugene, OR (USA)	28 JUN 2008	1245
33	9.89	+1.6	Darvis PATTON	04 DEC 1977	USA	1qf3		Eugene, OR (USA)	28 JUN 2008	1245
33	9.89	+1.3	Ngonidzashe MAKUSHA	11 MAR 1987	ZIM	1		Des Moines, IA (USA)	10 JUN 2011	1245
33	9.89	+1.9	Akani SIMBINE	21 SEP 1993	RSA	1		Sóstói Stadion, Székesfehérvár (HUN)	18 JUL 2016	1245
37	9.90	+0.4	Nickel ASHMEADE	07 APR 1990	JAM	1sf2		Luzhniki, Moskva (RUS)	11 AUG 2013	1241
37	9.90	+0.6	André DE GRASSE	10 NOV 1994	CAN	3f		Khalifa International Stadium, Doha (QAT)	28 SEP 2019	1241
39	9.91	+1.5	Dennis MITCHELL	20 FEB 1966	USA	1		Arena Civica, Milano (ITA)	07 SEP 1996	1238
39	9.91	+0.9	Leonard SCOTT	19 JAN 1980	USA	2		Gottlieb-Daimler Stadion, Stuttgart (GER)	09 SEP 2006	1238
39	9.91	-0.5	Derrick ATKINS	05 JAN 1984	BAH	2		Nagai Stadium, Osaka (JPN)	26 AUG 2007	1241
39	9.91	-0.2	Daniel BAILEY	09 SEP 1986	ANT	2		Paris-St-Denis (FRA)	17 JUL 2009	1239
39	9.91	+0.7	Churandy MARTINA	03 JUL 1984	NED	2sf1		Olympic Stadium, London (GBR)	05 AUG 2012	1238
39	9.91	+1.1	James DASAOLU	05 SEP 1987	GBR	1sf2		Birmingham (GBR)	13 JUL 2013	1238
39	9.91	+1.8	Femi OGUNODE	15 MAY 1991	QAT	1		Wuhan (CHN)	04 JUN 2015	1238
39	9.91	+1.0	Julian FORTE	07 JAN 1993	JAM	1		Olympiastadion, Berlin (GER)	27 AUG 2017	1238
39	9.91	+0.4	Zharnel HUGHES	13 JUL 1995	GBR	1f1		Kingston (JAM)	09 JUN 2018	1238
39	9.91	+0.2	Bingtian SU	29 AUG 1989	CHN	1		Moratalaz, Madrid (ESP)	22 JUN 2018	1238
49	9.92	+0.3	Andre CASON	20 JAN 1969	USA	2		Gottlieb-Daimler Stadion, Stuttgart (GER)	15 AUG 1993	1234
49	9.92	+0.8	Jon DRUMMOND	09 SEP 1968	USA	h		Indianapolis, IN (USA)	12 JUN 1997	1234
49	9.92	+0.2	Tim MONTGOMERY	28 JAN 1975	USA	2		Indianapolis, IN (USA)	13 JUN 1997	1234
49	9.92	-0.2	Seun OGUNKOYA	28 DEC 1977	NGR	2		SGJ, Johannesburg (RSA)	11 SEP 1998	1235
49	9.92	+1.0	Tim HARDEN	27 JAN 1974	USA	1		Luzern (SUI)	05 JUL 1999	1234
49	9.92	+2.0	Christophe LEMAITRE	11 JUN 1990	FRA	1		Albi (FRA)	29 JUL 2011	1234
49	9.92	-0.8	Kemar BAILEY-COLE	10 JAN 1992	JAM	3		Olympic Stadium, London (GBR)	24 JUL 2015	1238
49	9.92	+0.9	Jak Ali HARVEY	04 MAY 1989	TUR	1f2		Erzurum (TUR)	12 JUN 2016	1234
49	9.92	+0.7	Isiah YOUNG	05 JAN 1990	USA	1f1		Montverde, FL (USA)	09 JUN 2018	1234
58	9.93	+1.4	Calvin SMITH	08 JAN 1961	USA	1		Air Force Academy (USA)	03 JUL 1983	1231
58	9.93	-0.6	Michael MARSH	04 AUG 1967	USA	1f1		Walnut, CA (USA)	18 APR 1992	1234
58	9.93	+1.8	Patrick JOHNSON	26 SEP 1972	AUS	1		Mito (JPN)	05 MAY 2003	1231
58	9.93	+1.1	Ivory WILLIAMS	02 MAY 1985	USA	1f2		Rethymno (GRE)	20 JUL 2009	1231
58	9.93	+1.8	Kemarley BROWN	20 JUL 1992	JAM	1		Walnut, CA (USA)	17 MAY 2014	1231
58	9.93	+1.7	Clayton VAUGHN	15 MAY 1992	USA	1		Mobile, AL (USA)	08 MAY 2015	1231
58	9.93	+2.0	Marvin BRACY	15 DEC 1993	USA	1		Alexander Stadium, Birmingham (GBR)	07 JUN 2015	1231
58	9.93	+1.9	Kim COLLINS	05 APR 1976	SKN	1f2		Bottrop (GER)	29 MAY 2016	1231
58	9.93	+0.8	Cameron BURRELL	11 SEP 1994	USA	1sf2		Eugene, OR (USA)	07 JUN 2017	1231
58	9.93	+1.6	Christopher BELCHER	29 JAN 1994	USA	1sf3		Eugene, OR (USA)	07 JUN 2017	1231
58	9.93	+0.8	Cravon GILLESPIE	31 JUL 1996	USA	2		Austin, TX (USA)	07 JUN 2019	1231
58	9.93	+1.9	Arthur CISSÉ	29 DEC 1996	CIV	1		Leverkusen (GER)	24 JUL 2019	1231
70	9.94	+0.2	Davidson EZINWA	22 NOV 1971	NGR	1		Linz (AUT)	04 JUL 1994	1227
70	9.94	-0.2	Bernard WILLIAMS	19 JAN 1978	USA	2		Commonwealth Stadium, Edmonton (CAN)	05 AUG 2001	1228
70	9.94	+1.7	Diondre BATSON	13 JUL 1992	USA	2h2		Hayward Field, Eugene, OR (USA)	25 JUN 2015	1227
70	9.94	+1.4	Andrew FISHER	15 DEC 1991	JAM	2		Moratalaz, Madrid (ESP)	11 JUL 2015	1227
70	9.94	+1.0	Ameer WEBB	19 MAR 1991	USA	2f1		Stadio Olimpico, Roma (ITA)	02 JUN 2016	1227
70	9.94	+0.9	Wayde VAN NIEKERK	15 JUL 1992	RSA	1f3		Velenje (SLO)	20 JUN 2017	1227
70	9.94	-0.5	Reece PRESCOD	29 FEB 1996	GBR	2		Alexander Stadium, Birmingham (GBR)	18 AUG 2018	1230
77	9.95	+0.3	Jim HINES	10 SEP 1946	USA	1		Estadio Olímpico, Ciudad de México (MEX)	14 OCT 1968	1224
77	9.95	+0.8	Ben JOHNSON	30 DEC 1961	CAN	1f1		Moskva (URS)	09 JUL 1986	1224
77	9.95	+1.9	Olapade ADENIKEN	19 AUG 1969	NGR	1f1		El Paso, TX (USA)	16 APR 1994	1224
77	9.95	+0.8	Vincent HENDERSON	20 OCT 1972	USA	1		Leverkusen (GER)	09 AUG 1998	1224
77	9.95	+1.8	Joshua J. JOHNSON	10 MAY 1976	USA	1		Walnut, CA (USA)	21 APR 2002	1224
77	9.95	+0.6	Deji ALIU	22 NOV 1975	NGR	1		Abuja (NGR)	12 OCT 2003	1224
77	9.95	+1.8	John CAPEL	27 OCT 1978	USA	3		Eugene, OR (USA)	19 JUN 2004	1224
77	9.95	+1.6	Rodney MARTIN	22 DEC 1982	USA	2qf2		Eugene, OR (USA)	28 JUN 2008	1224
77	9.95	-0.8	Trell KIMMONS	13 JUL 1985	USA	1f2		Letzigrund, Zürich (SUI)	19 AUG 2010	1228
77	9.95	+0.9	Mario FORSYTHE	30 OCT 1985	JAM	3		Guidobaldi, Rieti (ITA)	29 AUG 2010	1224
77	9.95	+1.8	Kemar HYMAN	11 OCT 1989	CAY	1h2		Moratalaz, Madrid (ESP)	07 JUL 2012	1224
77	9.95	+1.2	Thando ROTO	26 SEP 1995	RSA	2		Pretoria (RSA)	18 MAR 2017	1224
89	9.96	+0.1	Mel LATTANY	10 AUG 1959	USA	1		Athens, GA (USA)	05 MAY 1984	1220
89	9.96	+1.2	Raymond STEWART	18 MAR 1965	JAM	6		Olympic Stadium, Tokyo (JPN)	25 AUG 1991	1220
89	9.96	+0.8	Kareem STREETE-THOMPSON	30 MAR 1973	USA	h		Indianapolis, IN (USA)	12 JUN 1997	1220
89	9.96	+1.0	Marc BURNS	07 JAN 1983	TTO	1		Port-of-Spain (TTO)	25 JUN 2005	1220
89	9.96	0.0	Wallace SPEARMON	24 DEC 1984	USA	1		Shanghai (CHN)	28 SEP 2007	1220
89	9.96	+1.4	Harry ADAMS	27 NOV 1989	USA	1h2		Des Moines, IA (USA)	06 JUN 2012	1220
89	9.96	-0.4	Dentarius LOCKE	12 DEC 1989	USA	2		Stade Louis II, Monaco (MON)	19 JUL 2013	1222
89	9.96	+1.4	Chijindu UJAH	05 MAR 1994	GBR	2		Blankers-Koen Stadion, Hengelo (NED)	08 JUN 2014	1220
89	9.96	+1.3	Quentin BUTLER	18 SEP 1992	USA	2h4		Hayward Field, Eugene, OR (USA)	25 JUN 2015	1220
89	9.96	+1.6	Senoj-Jay GIVANS	30 DEC 1993	JAM	1sf3		Eugene, OR (USA)	08 JUN 2016	1220
89	9.96	+2.0	Aaron BROWN	27 MAY 1992	CAN	1h1		Montverde, FL (USA)	11 JUN 2016	1220
89	9.96	+2.0	Joel FEARON	11 OCT 1988	GBR	1		Bedford (GBR)	30 JUL 2016	1220

Women 100m sprint:

Rank	Mark	WIND	Competitor	DOB	Nat	Pos		Venue	Date	Results Score
1	10.49	0.0	Florence GRIFFITH-JOYNER	21 DEC 1959	USA	1qf1		Indianapolis, IN (USA)	16 JUL 1988	1314
2	10.64	+1.2	Carmelita JETER	24 NOV 1979	USA	1		Shanghai (CHN)	20 SEP 2009	1280
3	10.65	+1.1	Marion JONES	12 OCT 1975	USA	1		SGJ, Johannesburg (RSA)	12 SEP 1998	1277
4	10.70	+0.6	Shelly-Ann FRASER-PRYCE	27 DEC 1986	JAM	1		Kingston (JAM)	29 JUN 2012	1266
4	10.70	+0.3	Elaine THOMPSON	28 JUN 1992	JAM	1		Kingston (JAM)	01 JUL 2016	1266
6	10.73	+2.0	Christine ARRON	13 SEP 1973	FRA	1		Népstadion, Budapest (HUN)	19 AUG 1998	1259
7	10.74	+1.3	Merlene OTTEY	10 MAY 1960	JAM	1		Arena Civica, Milano (ITA)	07 SEP 1996	1257
7	10.74	+1.0	English GARDNER	22 APR 1992	USA	1		Hayward Field, Eugene, OR (USA)	03 JUL 2016	1257
9	10.75	+0.4	Kerron STEWART	16 APR 1984	JAM	1		Stadio Olimpico, Roma (ITA)	10 JUL 2009	1255
9	10.75	+1.6	Sha'Carri RICHARDSON	25 MAR 2000	USA	1		Austin, TX (USA)	08 JUN 2019	1255
11	10.76	+1.7	Evelyn ASHFORD	15 APR 1957	USA	1		Zürich (SUI)	22 AUG 1984	1253
11	10.76	+1.1	Veronica CAMPBELL-BROWN	15 MAY 1982	JAM	1		Mestský Stadion, Ostrava (CZE)	31 MAY 2011	1253
13	10.77	+0.9	Irina PRIVALOVA	22 NOV 1968	RUS	1f2		Stade Olympique de la Pontaise, Lausanne (SUI)	06 JUL 1994	1251
13	10.77	+0.7	Ivet LALOVA-COLLIO	18 MAY 1984	BUL	1		Plovdiv (BUL)	19 JUN 2004	1251
15	10.78	+1.0	Dawn SOWELL	27 MAR 1966	USA	1		Provo, UT (USA)	03 JUN 1989	1248
15	10.78	+1.8	Torri EDWARDS	31 JAN 1977	USA	1sf2		Eugene, OR (USA)	28 JUN 2008	1248
15	10.78	+1.6	Murielle AHOURÉ	23 AUG 1987	CIV	1f1		Montverde, FL (USA)	11 JUN 2016	1248
15	10.78	+1.0	Tianna BARTOLETTA	30 AUG 1985	USA	2		Hayward Field, Eugene, OR (USA)	03 JUL 2016	1248
15	10.78	+1.0	Tori BOWIE	27 AUG 1990	USA	3		Hayward Field, Eugene, OR (USA)	03 JUL 2016	1248
20	10.79	0.0	Xuemei LI	05 JAN 1977	CHN	1		Shanghai (CHN)	18 OCT 1997	1246
20	10.79	-0.1	Inger MILLER	12 JUN 1972	USA	2		La Cartuja, Sevilla (ESP)	22 AUG 1999	1246
20	10.79	+1.1	Blessing OKAGBARE-IGHOTEGUONOR	09 OCT 1988	NGR	1		Olympic Stadium, London (GBR)	27 JUL 2013	1246
23	10.81	+1.7	Marlies GÖHR	21 MAR 1958	GDR	1		Berlin (GER)	08 JUN 1983	1242
23	10.81	-0.3	Dafne SCHIPPERS	15 JUN 1992	NED	2		National Stadium, Beijing (CHN)	24 AUG 2015	1243
25	10.82	-1.0	Gail DEVERS	19 NOV 1966	USA	1		Estadio Olímpico, Barcelona (ESP)	01 AUG 1992	1245
25	10.82	+0.4	Gwen TORRENCE	12 JUN 1965	USA	2		Paris (FRA)	03 SEP 1994	1239
25	10.82	-0.3	Zhanna BLOCK	06 JUL 1972	UKR	1		Commonwealth Stadium, Edmonton (CAN)	06 AUG 2001	1240
25	10.82	-0.7	Sherone SIMPSON	12 AUG 1984	JAM	1		Kingston (JAM)	24 JUN 2006	1243
25	10.82	+0.9	Michelle-Lee AHYE	10 APR 1992	TTO	1f2		Port-of-Spain (TTO)	24 JUN 2017	1239
30	10.83	+1.7	Marita KOCH	18 FEB 1957	GDR	2		Berlin (GER)	08 JUN 1983	1237
30	10.83	0.0	Sheila ECHOLS	02 OCT 1964	USA	1qf2		Indianapolis, IN (USA)	16 JUL 1988	1237
30	10.83	-1.0	Juliet CUTHBERT	09 APR 1964	JAM	2		Estadio Olímpico, Barcelona (ESP)	01 AUG 1992	1243
30	10.83	+0.1	Katerina THANOU	01 FEB 1975	GRE	2sf1		La Cartuja, Sevilla (ESP)	22 AUG 1999	1237
30	10.83	+0.1	Dina ASHER-SMITH	04 DEC 1995	GBR	2f		Khalifa International Stadium, Doha (QAT)	29 SEP 2019	1237
35	10.84	+1.9	Chandra STURRUP	12 SEP 1971	BAH	1f1		Stade Olympique de la Pontaise, Lausanne (SUI)	05 JUL 2005	1235
35	10.84	+1.8	Kelly-Ann BAPTISTE	14 OCT 1986	TTO	1f1		Clermont, FL (USA)	05 JUN 2010	1235
37	10.85	+2.0	Anelia NUNEVA	30 JUN 1962	BUL	1h1		Sofia (BUL)	02 SEP 1988	1233
37	10.85	+1.0	Muna LEE	30 OCT 1981	USA	1		Eugene, OR (USA)	28 JUN 2008	1233
37	10.85	+2.0	Barbara PIERRE	28 APR 1987	USA	1sf1		Drake Stadium, Des Moines, IA (USA)	21 JUN 2013	1233
37	10.85	+2.0	Aleia HOBBS	24 FEB 1996	USA	1f1		Baton Rouge, LA (USA)	29 APR 2017	1233
37	10.85	+1.5	Marie-Josée TA LOU	18 NOV 1988	CIV	1		Suhaim bin Hamad Stadium, Doha (QAT)	04 MAY 2018	1233
42	10.86	+0.6	Silke MÖLLER	20 JUN 1964	GDR	1		Potsdam (GDR)	20 AUG 1987	1231
42	10.86	0.0	Diane WILLIAMS	14 DEC 1960	USA	2qf1		Indianapolis, IN (USA)	16 JUL 1988	1231
42	10.86	+1.2	Chryste GAINES	14 SEP 1970	USA	1		Stade Louis II, Monaco (MON)	14 SEP 2003	1231
42	10.86	+2.0	Marshevet HOOKER	25 SEP 1984	USA	2		Hayward Field, Eugene, OR (USA)	04 JUN 2011	1231
46	10.87	+1.8	Octavious FREEMAN	20 APR 1992	USA	2		Drake Stadium, Des Moines, IA (USA)	21 JUN 2013	1228
47	10.88	+0.4	Lauryn WILLIAMS	11 SEP 1983	USA	2		Zürich (SUI)	19 AUG 2005	1226
48	10.89	+1.8	Katrin KRABBE	22 NOV 1969	GDR	1		Berlin (GER)	20 JUL 1988	1224
48	10.89	0.0	Xiaomei LIU	11 JAN 1972	CHN	2		Shanghai (CHN)	18 OCT 1997	1224
48	10.89	+1.5	Allyson FELIX	18 NOV 1985	USA	5		Olympic Stadium, London (GBR)	04 AUG 2012	1224
51	10.90	+1.4	Glory ALOZIE	30 DEC 1977	NGR	1		Laguna (ESP)	05 JUN 1999	1222
51	10.90	+1.8	Shalonda SOLOMON	19 DEC 1985	USA	2f1		Clermont, FL (USA)	05 JUN 2010	1222
53	10.91	+0.2	Heike DRECHSLER	16 DEC 1964	GDR	2		Moskva (URS)	06 JUL 1986	1220
53	10.91	+1.1	Savatheda FYNES	17 OCT 1974	BAH	2		Stade Olympique de la Pontaise, Lausanne (SUI)	02 JUL 1999	1220
53	10.91	+1.5	Debbie FERGUSON-MCKENZIE	16 JAN 1976	BAH	1		Manchester (GBR)	27 JUL 2002	1220
53	10.91	+1.8	Alexandria ANDERSON	28 JAN 1987	USA	3		Drake Stadium, Des Moines, IA (USA)	21 JUN 2013	1220
53	10.91	-0.2	Rosângela SANTOS	20 DEC 1990	BRA	2sf2		Olympic Stadium, London (GBR)	06 AUG 2017	1221
58	10.92	0.0	Alice BROWN	20 SEP 1960	USA	2qf2		Indianapolis, IN (USA)	16 JUL 1988	1217
58	10.92	+1.1	D'Andre HILL	19 APR 1973	USA	3		Atlanta, GA (USA)	15 JUN 1996	1217
58	10.92	+0.1	Yulia NESTSIARENKA	15 JUN 1979	BLR	1sf1		Olympic Stadium, Athina (GRE)	21 AUG 2004	1217
58	10.92	+1.4	Jenna PRANDINI	20 NOV 1992	USA	1f1		Walnut, CA (USA)	18 APR 2015	1217
58	10.92	+1.2	Jasmine TODD	23 DEC 1993	USA	3		Hayward Field, Eugene, OR (USA)	26 JUN 2015	1217
63	10.93	+1.8	Ewa KASPRZYK	07 SEP 1957	POL	1		Grudziadz (POL)	27 JUN 1986	1215
63	10.93	+1.0	Tayna LAWRENCE	17 SEP 1975	JAM	1		Bruxelles (BEL)	30 AUG 2002	1215
63	10.93	+1.8	Jeneba TARMOH	27 SEP 1989	USA	4		Drake Stadium, Des Moines, IA (USA)	21 JUN 2013	1215
66	10.94	+1.0	Carlette GUIDRY	04 SEP 1968	USA	1		New York, NY (USA)	14 JUN 1991	1213
66	10.94	-0.1	Schillonie CALVERT-POWELL	27 JUL 1988	JAM	1h1		Mesa, AZ (USA)	10 JUN 2017	1213
68	10.95	+1.0	Bärbel WÖCKEL	21 MAR 1955	GDR	2		Dresden (GER)	01 JUN 1982	1211
68	10.95	+2.0	Me'Lisa BARBER	04 OCT 1980	USA	3		Carson, CA (USA)	20 MAY 2007	1211
68	10.95	+1.8	Simone FACEY	07 MAY 1985	JAM	1		Boulder, CO (USA)	18 MAY 2008	1211
68	10.95	+1.0	Morolake AKINOSUN	17 MAY 1994	USA	4		Hayward Field, Eugene, OR (USA)	03 JUL 2016	1211
68	10.95	+1.3	Gina LÜCKENKEMPER	21 NOV 1996	GER	1h1		Olympic Stadium, London (GBR)	05 AUG 2017	1211
68	10.95	+1.1	Mujinga KAMBUNDJI	17 JUN 1992	SUI	1		Zofingen (SUI)	13 JUL 2018	1211
68	10.95	+1.6	Kayla WHITE	24 SEP 1996	USA	2		Austin, TX (USA)	08 JUN 2019	1211
75	10.96	+1.2	Marie-José PÉREC	09 MAY 1968	FRA	1		Dijon (FRA)	27 JUL 1991	1209
75	10.96	+2.0	Galina MALCHUGINA	17 DEC 1962	RUS	2		Moskva (RUS)	22 JUN 1992	1209
75	10.96	+1.0	Eldece CLARKE-LEWIS	13 FEB 1965	BAH	1		Fort-de-France (FRA)	29 APR 2000	1209
75	10.96	+0.4	Muriel HURTIS	25 MAR 1979	FRA	1		Parc des Sports, Annecy (FRA)	22 JUN 2002	1209
75	10.96	+1.9	Kimberlyn DUNCAN	02 AUG 1991	USA	1		Baton Rouge, LA (USA)	13 MAY 2012	1209
75	10.96	+2.0	Aurieyall SCOTT	18 MAY 1992	USA	2sf1		Drake Stadium, Des Moines, IA (USA)	21 JUN 2013	1209
75	10.96	+0.9	Natasha MORRISON	17 NOV 1992	JAM	3sf2		National Stadium, Beijing (CHN)	24 AUG 2015	1209
75	10.96	+1.0	Christania WILLIAMS	17 OCT 1994	JAM	3sf1		Estádio Olímpico, Rio de Janeiro (BRA)	13 AUG 2016	1209
75	10.96	+0.3	Mikiah BRISCO	14 JUL 1996	USA	1		Eugene, OR (USA)	10 JUN 2017	1209
75	10.96	+0.6	Ashley HENDERSON	04 DEC 1995	USA	2		Drake Stadium, Des Moines, IA (USA)	22 JUN 2018	1209
85	10.97	0.0	Angella ISSAJENKO	28 SEP 1958	CAN	3		Köln (GER)	16 AUG 1987	1206
85	10.97	+0.2	Mary ONYALI-OMAGBEMI	03 FEB 1968	NGR	1qf2		Gottlieb-Daimler Stadion, Stuttgart (GER)	15 AUG 1993	1206
85	10.97	+0.1	Pauline DAVIS-THOMPSON	09 JUL 1966	BAH	3		Nassau (BAH)	21 JUL 2000	1206
85	10.97	+0.1	LaTasha COLANDER	23 AUG 1976	USA	1		Sacramento, CA (USA)	10 JUL 2004	1206
85	10.97	-0.7	Sanya RICHARDS-ROSS	26 FEB 1985	USA	2		Shanghai (CHN)	28 SEP 2007	1210
85	10.97	+1.8	Mechelle LEWIS	20 SEP 1980	USA	2sf2		Eugene, OR (USA)	28 JUN 2008	1206
85	10.97	+1.2	LaShauntea MOORE	31 JUL 1983	USA	1		Maringa (BRA)	30 MAY 2010	1206
92	10.98	+0.1	Marina ZHIROVA	06 JUN 1963	URS	2		Moskva (URS)	17 AUG 1985	1204
92	10.98	+0.8	Angela BAILEY	28 FEB 1962	CAN	2		Budapest (HUN)	06 JUL 1987	1204
92	10.98	+1.6	Natalya VORONOVA	09 JUL 1965	URS	2qf2		Olympic Stadium, Jamsil, Seoul (KOR)	24 SEP 1988	1204
92	10.98	+0.6	Léonie Myriam MANI	21 MAY 1977	CMR	2f2		Athina (GRE)	11 JUN 2001	1204
92	10.98	+0.5	Carrie RUSSELL	18 OCT 1990	JAM	1f2		Letzigrund, Zürich (SUI)	29 AUG 2013	1204
92	10.98	+2.0	Candace HILL	11 FEB 1999	USA	1		Shoreline, WA (USA)	20 JUN 2015	1204
92	10.98	+1.5	Carina HORN	09 MAR 1989	RSA	5		Suhaim bin Hamad Stadium, Doha (QAT)	04 MAY 2018	1204
92	10.98	+1.5	Shania COLLINS	14 NOV 1996	USA	1sf1		Eugene, OR (USA)	07 JUN 2018	1204
92	10.98	+1.6	Twanisha TERRY	24 JAN 1999	USA	3		Austin, TX (USA)	08 JUN 2019	1204

The fastest woman couldn't outrun the 100th fastest man. It's not even close. Insurmountable is the appropriate word.

4 minutes ago, iNow said:

Elaborate 

You appear to be suggesting you didn’t intend to suggest binary genders with your “can’t fool nature” comment. If that’s inaccurate, surely you can clarify your meaning. 

Said another way, what’s your point?

There are insurmountable and systematic differences in athletic performance between men and women. Right now those differences cannot be fully eliminated with hormone therapy or other medical interventions. Pretending that they can be will not fool nature.

11 minutes ago, zapatos said:

No, I don't. I'm exploring why you think gender is a simple matter of science.

It definitely isn't simple or science if we make a person's gender dependent on their belief, since belief has nothing to do with science.

4 minutes ago, iNow said:

Did I stutter?

No, you're just wrong.

7 minutes ago, iNow said:

your assertion of binary only genders

What?

6 minutes ago, zapatos said:

What is your gender identification based on?

Answer my previous question first.

39 minutes ago, zapatos said:

Perhaps you can help me as I seem to be fooled here. What gender do you associate with the following?

Female. From Diabetic fetopathy associated with bilateral adrenal hyperplasia and ambiguous genitalia: a case report

Quote

The newborn with ambiguous genitalia was delivered with Apgar scores at 1 and 5 minutes of 4 and 3 respectively and was handed to the waiting neonatologist in the operative room. The newborn finally expired due to respiratory failure eighteen minutes after birth. The subsequent fetal chromosomal study revealed 46,XX.

Did you have a point?

5 hours ago, swansont said:

You could go with believing people when they tell you the gender with which they identify. Why does it have to be more complicated than that?

Because unlike you nature cannot be fooled.

The industrial revolution resulted in a massive increase of automation, and when combined with the exponential growth of technological progress which has taken place since then it has resulted in many forms of menial labor being made obsolete.

Consider the following premise - relative to the past, a greater percentage of the population today is unable to make economically useful contributions to society, since the menial labor which they would have been capable of has been automated.

Assuming that the premise is true, then this problem will only get worse. Automation and technological progress will only continue to grow, and that rate of growth is also likely to accelerate. In due time with sufficient scientific progress one possible solution could be some sort of population engineering strategy along these rough guidelines:

1) Fertility reduction - the following have been observed to suppress fertility rates:

• Education
• Feminism
• Contraception
• Abortion

2) Understanding the relationship between the morphology of the neurological system and behavior

3) Understanding the relationship between genetics and the morphology of the neurological system

4) Genetic engineering - developing techniques to alter the germline of humans in order to:

• Enhance cognitive function
• Remove the sexual drive / make humans asexual

4) Artificial gestation / artificial wombs - gestating all humans artificially would have the desirable effects of:

• Minimizing unnecessary sexual dimorphism
• Preventing sexual selection for unnecessary "peacock" traits

Assuming that this strategy could be achieved without violence or excessive coercion, would it be an ethical approach? Education, feminism, contraception, abortion, studies of genetics and the brain, and artificial wombs are all wanted by various groups of people for completely legitimate reasons unrelated to population engineering already. By simply combining these concepts we can solve our problem.

24 minutes ago, iNow said:

No, you were not. You were referring to state powers. It’s right there in writing:

No, recognizing the state's natural right to pursue it's interests that involve harvesting your productivity along with the investment it has made in you should compel you to serve the state out of gratitude for all it has given you. By killing yourself you display such ingratitude for all you have been given by the state, and it is not your natural right to behave in such an ungrateful way.

11 minutes ago, zapatos said:

It is right. By killing yourself you are saving the state resources so that they don't have to invest them in you in a nursing home after your productivity is gone.

You have a duty to kill yourself to protect the investment the state put into you.

Wrong. It is your natural right to exist, and the state has no natural right to display such ingratitude by discarding you after you have served it so dutifully.

It's seen as bad in a modern context, but in the past religion played an important role as a means of controlling people. Making an example out of people who were disobedient was necessary to maintain that control. Today we have other means of doing that, so traditional religion as we know it is no longer necessary.

2 minutes ago, iNow said:

Wouldn’t we need to fist identify in which state we exist before making such a proclamation?

No, since it is a matter of morality rather than law, I am referring to natural rights, not legal ones.