Some more random humor to give you a chuckle on your Friday and start you off right for the weekend.
Category Archives: Humor and Observations
China’s Forbidden City built with giant ‘sliding stones’
China’s Forbidden City built with giant ‘sliding stones’
By Charles Q. Choi
Published November 06, 2013
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The heaviest of the Forbidden City’s giant boulders, named the Large Stone Carving (shown here), now weighs more than 220 tons (200 metric tons) but once weighed more than 330 tons (300 metric tons). (JIANG LI.)
The Forbidden City, the palace once home to the emperors of China, was built by workers sliding giant stones for miles on slippery paths of wet ice, researchers have found.
The emperors of China
lived in the Forbidden City
, located in the heart of Beijing, for nearly 500 years, during China’s final two imperial dynasties, the Ming Dynasty and the Qing Dynasty. Vast numbers of huge stones were mined and transported there for its construction in the 15th and 16th centuries. The heaviest of these giant boulders, aptly named the Large Stone Carving, now weighs more than 220 tons but once weighed more than 330 tons.
Many of the largest building blocks of the Forbidden City came from a quarry about 43 miles away from the site. People in China had been using the spoked wheel since about 1500 B.C., so it was commonly thought that such colossal stones would’ve been transported on wheels, not by something like a sled. [See Photos of the Forbidden City & Building Stones
]
‘It’s humbling to think about a big project like this taking place 500 to 600 years ago.’
– Howard Stone, an engineer at Princeton University
However, Jiang Li, an engineer at the University of Science and Technology Beijing, translated a 500-year-old document, which revealed that an especially large stone measuring 31 feet long and weighing about 135 tons was slid over ice to the Forbidden City on a sledge hauled by a team of men over 28 days in the winter of 1557. This finding supported previously discovered clues suggesting that sleds helped to build the imperial palace.
To discover why sleds were still used for hauling gigantic stones
3,000 years after the development of the wheel
, Li and her colleagues calculated how much energy it would take for sleds to accomplish this goal.
“We were never sure quite what we would learn,” said study co-author Howard Stone, an engineer at Princeton University.
The ancient document Li translated revealed that workers dug wells every 1,600 feet or so to get water to pour on the ice to lubricate it. This made the ice even more slippery and, therefore, easier upon which to slide rocks.
The researchers calculated that a workforce of fewer than 50 men could haul a 123-ton stone on a sledge over lubricated ice from the quarry to the Forbidden City. In contrast, pulling the same load over bare ground would have required more than 1,500 men.
Moreover, the researchers estimated that the average speed of a 123-ton stone hauled on a sled on wet ice would be about 3 inches per second. This would have been fast enough for the stone to slide over the wet ice before the liquid water on the ice froze.
All in all, the researchers suggested that workers preferred hauling stones on smooth, flat, slippery, wet ice rather than on a bumpy ride on a wheeled cart. The ancient document Li translated revealed there were debates over whether to rely on sledges or wheels to help build the Forbidden City sledges may have required far more workers, time and money than mule-pulled wagons, but sledges were seen as a safer and more reliable means for slowly transporting heavy objects.
“It is humbling to think about a big project like this taking place 500 to 600 years ago, and the level of planning and coordination that was needed for it to occur,” Stone told LiveScience.
Li, Stone and their colleague Haosheng Chen detailed their findings online Nov. 4 in the journal Proceedings of the National Academy of Sciences.
Filed under Humor and Observations
21 Roads You Have to Drive in Your Lifetime
21 Roads You Have to Drive in Your Lifetime
There’s nothing like a road trip to really experience a country. From coastal highways and dizzying mountain passes, to scenic routes through national parks and bridges over great spans of water; roads are the circulatory system that connects a country. After an extensive search online, the Sifter has compiled a list of some of the most beautiful, challenging and unforgettable roads in the world.
While hardly exhaustive, this list should provide great inspiration and bucket list fodder for those planning an upcoming trip. Please feel free to share any additional roads in the comments and perhaps a pt II will be compiled 🙂
1. Highway 1, Big Sur, California

State Route 1 (SR 1) is a major north-south state highway that runs along most of the Pacific coastline of the U.S. state of California. The highway is famous for running along some of the most beautiful coastlines in the USA, leading to its designation as an All-American Road.
Highway 1 enters the Big Sur region crossing the San Carpoforo Creek just south of the Monterey County line. For about 90 miles (140 km) from the San Carpoforo Creek to the Carmel River, the road winds and hugs the cliffs of Big Sur, passing various coastal parks in the area. The road also briefly leaves the coast for a few miles and goes through a redwood forest in the Big Sur River valley. This segment of the highway, built between 1919 and 1937, also crosses several historic bridges, including the scenic Bixby Creek Bridge shown above. [Source]
2. Furka Pass, Switzerland

Furka Pass (el. 2429 m.) is a high mountain pass in the Swiss Alps connecting Gletsch, Valais with Realp, Uri. The Furka Pass was used as a location in the James Bond film Goldfinger. [Source]
3. The Atlantic Road, Norway
Opened on July 7, 1989, the Atlantic Road is a National Tourist Route and was honoured as Norway’s Construction of the Century in 2005. The Atlantic is an 8.3 kilometer (5.2 miles) section of Country Road 64 which runs between the towns of Kristiansund and Molde, the two main population centres in the county of More og Romsdal in Fjord, Norway. The road is built on several small islands and skerries, which are connected by several causeways, viaducts and eight bridges. For more information check out this featured post on the Sifter.
4. White Rim Road, Canyonlands National Park, Utah

The 100-mile White Rim Road loops around and below the Island mesa top and provides expansive views of the surrounding area. Trips usually take two to three days by four-wheel-drive vehicle or three to four days by mountain bike. All vehicles and bikes must remain on roads. ATVs and non-street legal dirt bikes are not permitted. Pets are also not permitted, even in vehicles.
Under favorable weather conditions, the White Rim Road is considered moderately difficult for high-clearance, four-wheel-drive vehicles. The steep, exposed sections of the Shafer Trail, Lathrop Canyon Road, Murphy’s Hogback, Hardscrabble Hill, and the Mineral Bottom switchbacks make the White Rim loop a challenging mountain bike ride, and require extreme caution for both vehicles and bikes during periods of inclement weather. [Source]
5. Tianmen Mountain Road, Hunan, China
Tianmen Mountain is a mountain located within Tianmen Mountain National Park, Zhangjiajie, in northwestern Hunan Province, China. A cable car operates from nearby Zhangjiajie railway station to the top of the mountain. It features 98 cars and a total length of 7,455 meters and an ascent of 1,279 meters. The highest gradient is an unusual 37 degrees. There is also an 11 km road with 99 bends that reaches the top of the mountain and takes visitors to Tianmen cave, a natural hole in the mountain at a height of 131.5 meters. [Source]
6. Seven Mile Bridge, Florida Keys

The Seven Mile Bridge is a famous bridge in the Florida Keys, in Monroe County, Florida, United States. It connects Knight’s Key (part of the city of Marathon, Florida) in the Middle Keys to Little Duck Key in the Lower Keys. Among the longest bridges in existence when it was built, it is one of the many bridges on US 1 in the Keys, where the road is called the Overseas Highway. [Source]
7. Chapman’s Peak Drive, Cape Town, South Africa
Chapman’s Peak Drive winds it way between Noordhoek and Hout Bay on the Atlantic Coast of the south-western tip of South Africa. The 9km route, with its 114 curves, skirts the rocky coastline of Chapman’s Peak (593m). The drive is affectionately known as “Chappies” and offers stunning 180° views with many areas along the route where you can stop and take in the exquisite scenery. [Source]
8. Stelvio Pass, Eastern Alps, Italy

The Stelvio Pass, located in Italy, at 2757 m (9045 feet) is the highest paved mountain pass in the Eastern Alps, and the second highest in the Alps, slightly below the Col de l’Iseran (2770 m, 9088 feet). Stelvio was also picked by the British automotive show Top Gear as its choice for the “greatest driving road in the world”, although their search was concentrated only in Europe. This conclusion was reached after the team went in search of a road that would satisfy every “petrolhead’s” driving fantasies in the premiere of the show’s 10th season. Top Gear later decided that the Transfăgărăşan Highway in Romania was possibly a superior driving road. [Source]
9. Col de Turini, France
The Col de Turini (el. 1607 m) is a high mountain pass in the Alps in the department of Alpes-Maritimes in France. It lies near Sospel, between the communes of Moulinet and La Bollène-Vésubie in the Arrondissement of Nice. It is famous for a stage of the Monte Carlo Rally which is held on the tight road with its many hairpin turns. The Col de Turini has also featured three times in the Tour de France (1948, 1950 and 1975) averaging 7.2% over 15.3 km when approached from the East starting at the valley of the river Vésubie. [Source]
10. Guoliang Tunnel Road, China

The Guoliang Tunnel is carved along the side of and through a mountain in China. The tunnel is located in the Taihang Mountains which are situated in the Henan Province of China. If you want to get there, you should start your trip in Xinxiang. Leave the city by driving north on Huanyu Avenue (the S229). After 13 miles you’ll enter the town of Huixian. Stay on the S229 for 15 miles more until you reach the junction with the S228. Turn left here and keep following the S229. After 8 miles you reach the village of Nanzhaizen. Turn left again and follow directions to Guoliang, 8 miles further. [Source]
11. Denali Highway, Alaska
Denali Highway (Alaska Route 8) is a lightly traveled, mostly gravel highway in the U.S. state of Alaska. It leads from Paxson on the Richardson Highway to Cantwell on the Parks Highway. Opened in 1957, it was the first road access to Denali National Park (then known as Mount McKinley National Park). The Denali is 135 miles (217 km) in length. [Source]
12. Karakoram Highway, China/Pakistan
The Karakoram Highway (KKH) is the highest paved international road in the world. It connects China and Pakistan across the Karakoram mountain range, through the Khunjerab Pass, at an elevation of 4,693 m/15,397 ft. It connects China’s Xinjiang region with Pakistan’s Gilgit–Baltistan and Khyber Pakhtunkhwa regions and also serves as a popular tourist attraction. Due to its high elevation and the difficult conditions in which it was constructed, it is also referred to as the “Eighth Wonder of the World.” The Karakorum Highway is known informally as the KKH, and — within Pakistan — officially as the N-35; within China, officially as China National Highway 314 (G314). [Source]
13. Great Ocean Road, Australia

The Great Ocean Road is an Australian National Heritage listed 243-kilometre (151 mi) stretch of road along the south-eastern coast of Australia between the Victorian cities of Torquay and Warrnambool. The road was built by returned soldiers between 1919 and 1932, and is the world’s largest war memorial; dedicated to casualties of World War I. It is an important tourist attraction in the region, which winds through varying terrain alongside the coast, and provides access to several prominent landmarks; including the nationally significant Twelve Apostles limestone stack formations. [Source]
14. Sani Pass, KwaZulu-Natal, South Africa

Sani Pass is located in the western end of KwaZulu-Natal province of South Africa on the road between Underberg and Mokhotlong, Lesotho. Sani Pass is a notoriously dangerous road that requires the use of a 4×4 vehicle. The pass is approximately 9 km in length and requires above average driving experience. While South African immigration at the bottom of the pass prohibits vehicles deemed unsuitable for the journey, the Lesotho border agents at the top generally allow vehicles of all types to attempt the descent. Border between the two countries closes at 4:00 pm every day and the Pass is often closed due to weather conditions, especially during winter. [Source]
15. Ruta 40, Argentina
National Route 40 or RN40 (often called Ruta 40), is a route in western Argentina, stretching from Cabo Virgenes in Santa Cruz Province in the south to La Quiaca in Jujuy Province in the north, running parallel to the Andes mountains. The southern part of the route, a largely paved road through sparsely populated territory, has become a well-known adventure tourism journey.
Route 40 is the longest route in Argentina and one of the largest in the world (along with the U.S. Route 66 and the Stuart Highway in Australia. It is more than 5,000 km (3,107 mi) long and crosses 20 national parks, 18 major rivers, 27 passes on the Andes, and goes up to 5,000 m (16,404 ft) above sea level in Abra del Acay in Salta. [Source]
16. Going-to-the-Sun-Road, Glacier National Park, Montana
Going-to-the-Sun Road was completed in 1932 and is a spectacular 50 mile, paved two-lane highway that bisects Glacier National Park east and west. It spans the width of the Park, crossing the Continental Divide at 6,646-foot-high Logan Pass. It passes through almost every type of terrain in the park, from large glacial lakes and cedar forests in the lower valleys to windswept alpine tundra atop the pass. Scenic viewpoints and pullouts line the road. In 1983 Going-To-The-Sun Road was included in the National Register of Historic Places and in 1985 was made a National Historic Civil Engineering Landmark. [Source]
17. Dadès Gorges, High Atlas, Morocco

Carved over the centuries by the Dades River, the Dades Gorge is now a very popular destination for travellers in Morocco. Travellers in 4WD (with a guide) can follow a mountain loop (at certain times of the year), following Dades Gorge as far north as Agoudal, then turning south to head for Todra Gorge. It can be accessed from the small town of Boumaine which lies 116 km northeast of Ouarzazate and 53 km from Tinerhir. A sealed road runs for 63 km through the Gorge as far as Msemrir, after that 4WD is necessary. The best time to visit the lower valleys is from March to May and the mountains are best from May to July. [Source]
18. U.S. Route 550 ‘The Million Dollar Highway, Colorado

U.S. Route 550 is a spur of U.S. Highway 50 that runs from Bernalillo, New Mexico to Montrose, Colorado in the western United States. The section from Silverton to Ouray is frequently called the Million Dollar Highway. The Million Dollar Highway stretches for about 25 miles (40 km) in western Colorado and follows the route of U.S. 550 between Silverton and Ouray, Colorado. It is part of the San Juan Skyway Scenic Byway. Between Durango and Silverton the Skyway loosely parallels the Durango and Silverton Narrow Gauge Railroad.
Though the entire stretch has been called the Million Dollar Highway, it is really the twelve miles (19 km) south of Ouray through the Uncompahgre Gorge to the summit of Red Mountain Pass which gains the highway its name. This stretch through the gorge is challenging and potentially hazardous to drive; it is characterized by steep cliffs, narrow lanes, and a lack of guardrails; the ascent of Red Mountain Pass is marked with a number of hairpin curves used to gain elevation, and again, narrow lanes for traffic—many cut directly into the sides of mountains. [Source]
19. Trollstigen, Rauma, Norway

Trollstigen (English: Trolls’ Ladder) is a serpentine mountain road in Rauma, Norway, part of Norwegian National Road 63 connecting Åndalsnes in Rauma and Valldal in Norddal. It is a popular tourist attraction due to its steep incline of 9% and eleven hairpin bends up a steep mountain side. Trollstigen was opened on July 31, 1936, by King Haakon VII after 8 years of construction. During the top tourist season about 2,500 vehicles pass daily.
The road is narrow with many sharp bends, and although several bends have been widened during the years 2005 to 2012, vehicles over 12.4 metres long are prohibited from driving the road. At the 700 metres plateau there is a car park and several viewing balconies overlooking the bends and the Stigfossen waterfall. Trollstigen is closed during autumn and winter. A normal opening season stretches from mid-May to October, but may sometimes be shorter or longer due to changes in the weather conditions. [Source]
20. The Amalfi Coast, Italy

The Amalfi Coast is widely considered Italy’s most scenic stretch of coastline, a landscape of towering bluffs, pastel-hued villages terraced into hillsides, corniche roads, luxuriant gardens, and expansive vistas over turquoise waters and green-swathed mountains. Deemed by UNESCO “an outstanding example of a Mediterranean landscape,” the coast was awarded a coveted spot on the World Heritage list in 1997. The Amalfi Coast lies along the southern flanks of the Sorrento Peninsula, a cliff-edged promontory that wanders out from the mainland at the southern end of the Bay of Naples. [Source]
21. Transfăgărășan, Romania

The Transfăgărășan or DN7C is the second-highest paved road in Romania. Built as a strategic military route, the 90 km of twists and turns run north to south across the tallest sections of the Southern Carpathians, between the highest peak in the country, Moldoveanu, and the second highest, Negoiu. The road connects the historic regions of Transylvania and Wallachia, and the cities of Sibiu and Pitești.
The road climbs to 2,034 metres altitude. The most spectacular route is from the North. It is a winding road, dotted with steep hairpin turns, long S-curves, and sharp descents. Top Gear host, Jeremy Clarkson, had said about Transfăgărășan that, “this is the best road… in the world” – a title the program’s presenters had previously given to the Stelvio Pass in Italy.
Filed under Humor and Observations
When and Where did Wolves Turn Into Dogs?
Wolf to Dog: Scientists Agree on How, but Not Where
The side view of a Palaeolithic dog fossil recovered from a cave in Belgium.
By CARL ZIMMER
Published: November 14, 2013
Where did dogs come from? That simple question is the subject of a scientific debate right now. In May, a team of scientists published astudy pointing to East Asia as the place where dogs evolved from wolves. Now, another group of researchers has announced that dogs evolved several thousand miles to the west, in Europe.
This controversy is intriguing even if you’re not a dog lover. It illuminates the challenges scientists face as they excavate the history of any species from its DNA.
Scientists have long agreed that the closest living relatives of dogs are wolves, their link confirmed by both anatomy and DNA. Somewhere, at some point, some wolves became domesticated. They evolved not only a different body shape, but also a different behavior. Instead of traveling in a pack to hunt down prey, dogs began lingering around humans. Eventually, those humans bred them into their many forms, from shar-peis to Newfoundlands.
A few fossils supply some tantalizing clues to that transformation. Dating back as far as 36,000 years, they look like wolfish dogs or doggish wolves. The oldest of these fossils have mostly turned up in Europe.
In the 1990s, scientists started using new techniques to explore the origin of dogs. They sequenced bits of DNA from living dog breeds and wolves from various parts of the world to see how they were related. And the DNA told a different story than the bones. In fact, it told different stories.
In a 2002 study, for example, Peter Savolainen, now at the Royal Institute of Technology in Sweden, and his colleagues concluded that dogs evolved in East Asia. Eight years later, however, Robert Wayne, a geneticist at the University of California, Los Angeles, and his colleagues analyzed some new dog breeds and concluded that the Middle East was where dogs got their start. (All such studies suggest that a few breeds may have been independently domesticated, although they differ on which ones and where.)
Dr. Savolainen and his colleagues continued to sequence DNA from more dogs, and they published more evidence for an East Asian origin of dogs — narrowing it down to South China.
While early studies of canine origins were limited to fragments of DNA, scientists are now starting to sequence entire genomes of dogs and wolves. In May, for example, Dr. Salovainen and Chinese colleagues reported that Chinese native dogs had the most wolflike genomes. By tallying up the mutations in the different dog and wolf genomes, they estimated that the ancestors of Chinese village dogs and wolves split about 32,000 years ago.
If this were true, then the first dogs would have become domesticated not by farmers, but by Chinese hunter-gatherers more than 20,000 years before the dawn of agriculture.
Dr. Wayne and his colleagues think that is wrong.
A dog may have wolflike DNA because it is a dog-wolf hybrid. In a paper that is not yet published, they analyze wolf and dog genomes to look for signs of ancient interbreeding. They cite evidence that, indeed, some of the DNA in dogs in East Asia comes from wolf interbreeding.
“That’s going to pump up the resemblance,” Dr. Wayne said.
Now Dr. Wayne and his colleagues are introducing a new line of evidence to the dog debate: ancient DNA. Over the past two decades, scientists have developed increasingly powerful tools to rescue fragments of DNA from fossils, producing “an explosion in the samples,” said Beth Shapiro of the University of California, Santa Cruz, a collaborator with Dr. Wayne.
On Thursday in the journal Science, Dr. Wayne, Dr. Shapiro and their colleagues report on the first large-scale comparison of DNA from both living and fossil dogs and wolves. They managed to extract DNA from 18 fossils found in Europe, Russia and the New World. They compared their genes to those from 49 wolves, 77 dogs and 4 coyotes.
The scientists examined a special kind of DNA found in a structure in the cell called the mitochondrion. Mitochondrial DNA comes only from mothers. Because each cell may have thousands of mitochondria, it is easier to gather enough genetic fragments to reconstruct its DNA.
The scientists did not find that living dogs were closely related to wolves from the Middle East or China. Instead, their closest relatives were ancient dogs and wolves from Europe.
“It’s a simple story, and the story is they were domesticated in Europe,” Dr. Shapiro said.
Dr. Shapiro and Dr. Wayne and their colleagues estimate that dogs split off from European wolves sometime between 18,000 and 30,000 years ago. At the time, Northern Europe was covered in glaciers and the southern portion was a grassland steppe where humans hunted for mammoths, horses and other big game.
“Humans couldn’t take everything, and that was a great treasure trove,” Dr. Wayne said. Some wolves began to follow the European hunters to scavenge on the carcasses they left behind. As they migrated along with people, they became isolated from other wolves.
Dog evolution experts praised the scientists for gathering so much new data. “I think it’s terrific,” said Adam Boyko, a Cornell biologist. Dr. Savolainen agreed. “I think it’s a fantastic sample,” he said.
But Dr. Savolainen said the analysis was flawed. “It’s not a correct scientific study, because it’s geographically biased,” he said.
The study lacks ancient DNA from fossils from East Asia or the Middle East, and so it’s not possible to tell whether the roots of dog evolution are anchored in those regions. “You just need to have samples from everywhere,” Dr. Savolainen said.
He also rejects Dr. Wayne’s argument that interbreeding in East Asia creates an illusion that dogs originated there. Dr. Savolainen points out that the study suggesting interbreeding was based on a wolf from northern China. “What they need to have is samples from south China,” he said.
There’s just one catch. South China is now so densely settled by people that no wolves live there. A similar problem applies to the fossil record.
“It may be impossible to go this way,” Dr. Savolainen said.
Dr. Wayne is not quite so pessimistic. He and his colleagues are hoping to widen their scope and find more DNA from fossils of dogs outside of Europe, while also looking at the genes of living dogs that might hold important clues. Yet he thinks it unlikely that the new evidence will change the basic conclusion of his latest study.
“But there have been so many surprises in the history of this research on dog domestication that I’m holding my breath till we get more information,” Dr. Wayne said.
Filed under Animals, Humor and Observations
20 Haunting Pictures Of Abandoned Asylums
20 Haunting Pictures Of Abandoned Asylums
Abandoned mental asylums litter forgotten landscapes across the world. But these spooky buildings don’t compare to the fright you’ll experience inside the notorious Briarcliff Manor, the setting of American Horror Story: Asylum. Whet your macabre appetite with these haunting photos, and commit yourself to American Horror Story: Asylum. Wednesdays at 10p only on FX.
[My personal note – In Japan, ruins are known as haikyo (廃虚?) (literally “abandoned place”). There is a growing interest in Haikyo exploration and photography if you are also interested in the eerie coolness of things falling apart. I have posted other posts on this, including abandoned Soviet Union cold war facilities and abandoned amusement parks.]
Filed under Humor and Observations
Good and Bad Habits of Smart People
IQ or Intelligence Quotient measures your knowledge base against the norm. For instance, if you are 10 but know what most 12 year olds know, your IQ would be 120, or 12/10. Therefore, the average is roughly 100. IQ tends to follow a bell curve with most people being roughly average. IQ is not a measure of good manners, success, or wisdom. When I was young I was more peculiar than now. In Kindergarten I was doing long division and writing in cursive. I was tested then and often, and scored 168. I was placed in a special program, and asked to skip high school and go straight to college. As a small boy who started Kindergarten at 4 and lived in an abusive home, the thought of having normal male desires and being 4’11” and going to college with fully developed women was more than intimidating. Instead, I stayed in regular school to try to develop social skills.
It was tough, and even today, I can be extremely annoying. Others say I have had a successful life, but the pressure on smart kids is like this, Teacher and Counselor say to 6 year old – “You can’t be a writer or a stand up comedian, with your brain you have to cure cancer or bring world peace.” If you think I am exaggerating, I am not. It is frustrating to be very smart and have such high expectations placed on you. I wonder if other smart people always feel like failures who fall short of their “gift.” My wife is very bright as are my kids. Both my kids were also put in special smart kid programs. My son is studying bio-chemical engineering right now and often feels the same anxiety and pressure to achieve that I do.
Today, I try to lead my life as just me. I try to put aside all those years being told I owed the world something great. I try to just focus on friends, family and writing – all of which I love. So, when I came across this chart, it talked to me. I hate to admit it, but yeah… On Myers Briggs I am an extreme ENTJ. It tells me I should be an executive, in the military or in politics. All of which oddly I have done. Can one change their own stars? That is what I’ve been trying now for nearly three years. It has resulted in a decrease in free floating anxiety and my heart rate and blood pressure are back under control, so something is working.
IQ Percentile and Rarity Chart
These are IQs, their percentiles, and rarity on a 15 SD (e.g. Wechsler) and 16 SD (e.g. Stanford-Binet) scale. They were calculated using the NORMDIST function in Excel. The number of decimal places for the rarity was varied in the hope it might be useful. You can see why presently nobody should be able to get a deviation IQ higher than 195 (or 201 on the 16 SD scale). There are not enough people in the world to ‘beat’. Note that rarities given are of people that have a certain IQ or higher. Some people might find it more useful to know the rarity of people that have a certain IQ or lower. In that case use this example as a guide: If you want to know how many people have IQs of 84 or lower, look at the rarity of people that have an IQ of 116 or higher. (100 – 84 = 16. 100 + 16 = 116).
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
202
|
99.9999999995%
|
190,057,377,928 |
99.9999999908%
|
10,881,440,294 |
|
201
|
99.9999999992%
|
119,937,672,336 |
99.9999999862%
|
7,252,401,045 |
|
200
|
99.9999999987%
|
76,017,176,740 |
99.9999999794%
|
4,852,159,346 |
|
199
|
99.9999999979%
|
48,390,420,202 |
99.9999999693%
|
3,258,706,819 |
|
198
|
99.9999999968%
|
30,938,221,975 |
99.9999999545%
|
2,196,908,409 |
|
197
|
99.9999999950%
|
19,866,426,228 |
99.9999999327%
|
1,486,736,899 |
|
196
|
99.9999999922%
|
12,812,462,045 |
99.9999999010%
|
1,009,976,678 |
|
195
|
99.9999999880%
|
8,299,126,114 |
99.9999998548%
|
688,720,101 |
|
194
|
99.9999999815%
|
5,399,067,340 |
99.9999997879%
|
471,441,334 |
|
193
|
99.9999999717%
|
3,527,693,270 |
99.9999996913%
|
323,940,499 |
|
192
|
99.9999999568%
|
2,314,980,850 |
99.9999995524%
|
223,436,817 |
|
191
|
99.9999999345%
|
1,525,765,721 |
99.9999993536%
|
154,701,783 |
|
190
|
99.9999999010%
|
1,009,976,678 |
99.9999990699%
|
107,519,234 |
|
189
|
99.9999998511%
|
671,455,130 |
99.9999986669%
|
75,011,253 |
|
188
|
99.9999997770%
|
448,336,263 |
99.9999980964%
|
52,530,944 |
|
187
|
99.9999996674%
|
300,656,786 |
99.9999972920%
|
36,927,646 |
|
186
|
99.9999995062%
|
202,496,482 |
99.9999961624%
|
26,057,620 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
185
|
99.9999992699%
|
136,975,305 |
99.9999945820%
|
18,457,107 |
|
184
|
99.9999989254%
|
93,056,001 |
99.9999923799%
|
13,123,126 |
|
183
|
99.9999984250%
|
63,492,548 |
99.9999893231%
|
9,366,012 |
|
182
|
99.9999977016%
|
43,508,721 |
99.9999850966%
|
6,709,882 |
|
181
|
99.9999966604%
|
29,943,596 |
99.9999792755%
|
4,825,216 |
|
180
|
99.9999951684%
|
20,696,863 |
99.9999712895%
|
3,483,046 |
|
179
|
99.9999930398%
|
14,367,357 |
99.9999603760%
|
2,523,720 |
|
178
|
99.9999900166%
|
10,016,587 |
99.9999455198%
|
1,835,530 |
|
177
|
99.9999857417%
|
7,013,455 |
99.9999253755%
|
1,340,043 |
|
176
|
99.9999797237%
|
4,931,877 |
99.9998981672%
|
982,001 |
|
175
|
99.9999712895%
|
3,483,046 |
99.9998615605%
|
722,337 |
|
174
|
99.9999595211%
|
2,470,424 |
99.9998125011%
|
533,337 |
|
173
|
99.9999431733%
|
1,759,737 |
99.9997470088%
|
395,271 |
|
172
|
99.9999205647%
|
1,258,887 |
99.9996599197%
|
294,048 |
|
171
|
99.9998894360%
|
904,454 |
99.9995445629%
|
219,569 |
|
170
|
99.9998467663%
|
652,598 |
99.9993923584%
|
164,571 |
|
169
|
99.9997885357%
|
472,893 |
99.9991923180%
|
123,811 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
168
|
99.9997094213%
|
344,141 |
99.9989304314%
|
93,496 |
|
167
|
99.9996024097%
|
251,515 |
99.9985889129%
|
70,867 |
|
166
|
99.9994583047%
|
184,606 |
99.9981452833%
|
53,917 |
|
165
|
99.9992651083%
|
136,074 |
99.9975712563%
|
41,174 |
|
164
|
99.9990072440%
|
100,730 |
99.9968313965%
|
31,560 |
|
163
|
99.9986645903%
|
74,883 |
99.9958815099%
|
24,281 |
|
162
|
99.9982112841%
|
55,906 |
99.9946667250%
|
18,750 |
|
161
|
99.9976142490%
|
41,916 |
99.9931192192%
|
14,533 |
|
160
|
99.9968313965%
|
31,560 |
99.9911555410%
|
11,307 |
|
159
|
99.9958094411%
|
23,863 |
99.9886734737%
|
8,829 |
|
158
|
99.9944812644%
|
18,120 |
99.9855483883%
|
6,920 |
|
157
|
99.9927627566%
|
13,817 |
99.9816290270%
|
5,443 |
|
156
|
99.9905490555%
|
10,581 |
99.9767326626%
|
4,298 |
|
155
|
99.9877101029%
|
8,137 |
99.9706395788%
|
3,406 |
|
154
|
99.9840854286%
|
6,284 |
99.9630868216%
|
2,709 |
|
153
|
99.9794780761%
|
4,873 |
99.9537611786%
|
2,163 |
|
152
|
99.9736475807%
|
3,795 |
99.9422913506%
|
1,733 |
|
151
|
99.9663019177%
|
2,968 |
99.9282392963%
|
1,394 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
150
|
99.9570883466%
|
2,330 |
99.9110907427%
|
1,125 |
|
149
|
99.9455830880%
|
1,838 |
99.8902448799%
|
911 |
|
148
|
99.9312797919%
|
1,455 |
99.8650032777%
|
741 |
|
147
|
99.9135767802%
|
1,157 |
99.8345580959%
|
604 |
|
146
|
99.8917630764%
|
924 |
99.7979796890%
|
495 |
|
145
|
99.8650032777%
|
741 |
99.7542037453%
|
407 |
|
144
|
99.8323213712%
|
596 |
99.7020181412%
|
336 |
|
143
|
99.7925836483%
|
482 |
99.6400497338%
|
278 |
|
142
|
99.7444809358%
|
391 |
99.5667513617%
|
231 |
|
141
|
99.6865104294%
|
319 |
99.4803893690%
|
192 |
|
140
|
99.6169574875%
|
261 |
99.3790320141%
|
161 |
|
139
|
99.5338778217%
|
215 |
99.2605391688%
|
135 |
|
138
|
99.4350805958%
|
177 |
99.1225537500%
|
114 |
|
137
|
99.3181130218%
|
147 |
98.9624953632%
|
96 |
|
136
|
99.1802471131%
|
122 |
98.7775566587%
|
82 |
|
135
|
99.0184693146%
|
102 |
98.5647029151%
|
70 |
|
134
|
98.8294737819%
|
85 |
98.3206753694%
|
60 |
|
133
|
98.6096601092%
|
72 |
98.0419987942%
|
51 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
132
|
98.3551363216%
|
61 |
97.7249937964%
|
44 |
|
131
|
98.0617279292%
|
52 |
97.3657942589%
|
38 |
|
130
|
97.7249937964%
|
44 |
96.9603702812%
|
33 |
|
129
|
97.3402495072%
|
38 |
96.5045568849%
|
29 |
|
128
|
96.9025987934%
|
32 |
95.9940886433%
|
25 |
|
127
|
96.4069734486%
|
28 |
95.4246402670%
|
22 |
|
126
|
95.8481819706%
|
24 |
94.7918730337%
|
19 |
|
125
|
95.2209669590%
|
21 |
94.0914867949%
|
17 |
|
124
|
94.5200710546%
|
18 |
93.3192771207%
|
15 |
|
123
|
93.7403109348%
|
16 |
92.4711969715%
|
13 |
|
122
|
92.8766585983%
|
14 |
91.5434221090%
|
12 |
|
121
|
91.9243288744%
|
12 |
90.5324192858%
|
11 |
|
120
|
90.8788718026%
|
11 |
89.4350160914%
|
9 |
|
119
|
89.7362682436%
|
10 |
88.2484711894%
|
9 |
|
118
|
88.4930268282%
|
9 |
86.9705435536%
|
8 |
|
117
|
87.1462801289%
|
8 |
85.5995592220%
|
7 |
|
116
|
85.6938777630%
|
7 |
84.1344740241%
|
6 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
115
|
84.1344740241%
|
6.30297414356 |
82.5749307167%
|
5.7388581000 |
|
114
|
82.4676075848%
|
5.70372814115 |
80.9213089868%
|
5.2414497373 |
|
113
|
80.6937708458%
|
5.17967538878 |
79.1747668425%
|
4.8018670064 |
|
112
|
78.8144666062%
|
4.72020213705 |
77.3372720270%
|
4.4125314534 |
|
111
|
76.8322499196%
|
4.31634490415 |
75.4116222443%
|
4.0669620824 |
|
110
|
74.7507532660%
|
3.96051419092 |
73.4014531849%
|
3.7596038872 |
|
109
|
72.5746935061%
|
3.64626736341 |
71.3112335745%
|
3.4856849025 |
|
108
|
70.3098594977%
|
3.36812148102 |
69.1462467364%
|
3.2410967685 |
|
107
|
67.9630797074%
|
3.12139865776 |
66.9125584538%
|
3.0222947235 |
|
106
|
65.5421696587%
|
2.90209798497 |
64.6169712244%
|
2.8262136810 |
|
105
|
63.0558595794%
|
2.70678919205 |
62.2669653200%
|
2.6501976543 |
|
104
|
60.5137031432%
|
2.53252414027 |
59.8706273779%
|
2.4919402788 |
|
103
|
57.9259687167%
|
2.37676298063 |
57.4365675495%
|
2.3494345790 |
|
102
|
55.3035150084%
|
2.23731239758 |
54.9738265155%
|
2.2209304558 |
|
101
|
52.6576534466%
|
2.11227383685 |
52.4917739192%
|
2.1048986302 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
100
|
49.9999999782%
|
1.99999999913 |
49.9999999782%
|
1.9999999991 |
|
99
|
47.3423465534%
|
1.89905917668 |
47.5082260808%
|
1.9050604034 |
|
98
|
44.6964849916%
|
1.80820333002 |
45.0261734845%
|
1.8190474693 |
|
97
|
42.0740312833%
|
1.72634143572 |
42.5634324505%
|
1.7410511155 |
|
96
|
39.4862968568%
|
1.65251826951 |
40.1293726221%
|
1.6702681161 |
|
95
|
36.9441404206%
|
1.58589543727 |
37.7330346800%
|
1.6059880144 |
|
94
|
34.4578303413%
|
1.52573527121 |
35.3830287756%
|
1.5475810473 |
|
93
|
32.0369202926%
|
1.47138711828 |
33.0874415462%
|
1.4944877660 |
|
92
|
29.6901405023%
|
1.42227563409 |
30.8537532636%
|
1.4462100941 |
|
91
|
27.4253064939%
|
1.37789076562 |
28.6887664255%
|
1.4023036061 |
|
90
|
25.2492467340%
|
1.33777916116 |
26.5985468151%
|
1.3623708477 |
|
89
|
23.1677500804%
|
1.30153679093 |
24.5883777557%
|
1.3260555472 |
|
88
|
21.1855333938%
|
1.26880259813 |
22.6627279730%
|
1.2930375921 |
|
87
|
19.3062291542%
|
1.23925302972 |
20.8252331575%
|
1.2630286642 |
|
86
|
17.5323924152%
|
1.21259732068 |
19.0786910132%
|
1.2357684429 |
|
85
|
15.8655259759%
|
1.18857342558 |
17.4250692833%
|
1.2110213007 |
|
84
|
14.3061222370%
|
1.16694450771 |
15.8655259759%
|
1.1885734256 |
|
83
|
12.8537198711%
|
1.14749590978 |
14.4004407780%
|
1.1682303146 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
82
|
11.5069731718%
|
1.13003254137 |
13.0294564464%
|
1.1498145914 |
|
81
|
10.2637317564%
|
1.11437662784 |
11.7515288106%
|
1.1331641064 |
|
80
|
9.1211281974%
|
1.10036577278 |
10.5649839086%
|
1.1181302847 |
|
79
|
8.0756711256%
|
1.08785129274 |
9.4675807142%
|
1.1045766896 |
|
78
|
7.1233414017%
|
1.07669678808 |
8.4565778910%
|
1.0923777776 |
|
77
|
6.2596890652%
|
1.06677691809 |
7.5288030285%
|
1.0814178174 |
|
76
|
5.4799289454%
|
1.05797635237 |
6.6807228793%
|
1.0715899553 |
|
75
|
4.7790330410%
|
1.05018887325 |
5.9085132051%
|
1.0627954070 |
|
74
|
4.1518180294%
|
1.04331660699 |
5.2081269663%
|
1.0549427583 |
|
73
|
3.5930265514%
|
1.03726936365 |
4.5753597330%
|
1.0479473616 |
|
72
|
3.0974012066%
|
1.03196406748 |
4.0059113567%
|
1.0417308129 |
|
71
|
2.6597504928%
|
1.02732426212 |
3.4954431151%
|
1.0362204981 |
|
70
|
2.2750062036%
|
1.02327967611 |
3.0396297188%
|
1.0313491967 |
|
69
|
1.9382720708%
|
1.01976583639 |
2.6342057411%
|
1.0270547348 |
|
68
|
1.6448636784%
|
1.01672371917 |
2.2750062036%
|
1.0232796761 |
|
67
|
1.3903398908%
|
1.01409942889 |
1.9580012058%
|
1.0199710454 |
|
66
|
1.1705262181%
|
1.01184389811 |
1.6793246306%
|
1.0170800762 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
65
|
0.9815306854%
|
1.00991260208 |
1.4352970849%
|
1.0145619785 |
|
64
|
0.8197528869%
|
1.00826528377 |
1.2224433413%
|
1.0123757196 |
|
63
|
0.6818869782%
|
1.006865686 |
1.0375046368%
|
1.0104838164 |
|
62
|
0.5649194042%
|
1.00568128874 |
0.8774462500%
|
1.0088521352 |
|
61
|
0.4661221783%
|
1.00468305052 |
0.7394608312%
|
1.0074496959 |
|
60
|
0.3830425125%
|
1.0038451537 |
0.6209679859%
|
1.0062484809 |
|
59
|
0.3134895706%
|
1.00314475418 |
0.5196106310%
|
1.0052232469 |
|
58
|
0.2555190642%
|
1.00256173637 |
0.4332486383%
|
1.0043513385 |
|
57
|
0.2074163517%
|
1.00207847461 |
0.3599502662%
|
1.0036125059 |
|
56
|
0.1676786288%
|
1.00167960262 |
0.2979818588%
|
1.0029887244 |
|
55
|
0.1349967223%
|
1.0013517921 |
0.2457962547%
|
1.0024640190 |
|
54
|
0.1082369236%
|
1.00108354203 |
0.2020203110%
|
1.0020242926 |
|
53
|
0.0864232198%
|
1.00086497974 |
0.1654419041%
|
1.0016571607 |
|
52
|
0.0687202081%
|
1.00068767465 |
0.1349967223%
|
1.0013517921 |
|
51
|
0.0544169120%
|
1.0005444654 |
0.1097551201%
|
1.0010987571 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
50
|
0.0429116534%
|
1.00042930075 |
0.0889092573%
|
1.0008898838 |
|
49
|
0.0336980823%
|
1.00033709442 |
0.0717607037%
|
1.0007181224 |
|
48
|
0.0263524193%
|
1.00026359366 |
0.0577086494%
|
1.0005774197 |
|
47
|
0.0205219239%
|
1.00020526136 |
0.0462388214%
|
1.0004626021 |
|
46
|
0.0159145714%
|
1.00015917105 |
0.0369131784%
|
1.0003692681 |
|
45
|
0.0122898971%
|
1.00012291408 |
0.0293604212%
|
1.0002936904 |
|
44
|
0.0094509445%
|
1.00009451838 |
0.0232673374%
|
1.0002327275 |
|
43
|
0.0072372434%
|
1.00007237767 |
0.0183709730%
|
1.0001837435 |
|
42
|
0.0055187356%
|
1.0000551904 |
0.0144516117%
|
1.0001445370 |
|
41
|
0.0041905589%
|
1.00004190735 |
0.0113265263%
|
1.0001132781 |
|
40
|
0.0031686035%
|
1.00003168704 |
0.0088444590%
|
1.0000884524 |
|
39
|
0.0023857510%
|
1.00002385808 |
0.0068807808%
|
1.0000688125 |
|
38
|
0.0017887159%
|
1.00001788748 |
0.0053332750%
|
1.0000533356 |
|
37
|
0.0013354097%
|
1.00001335428 |
0.0041184901%
|
1.0000411866 |
|
36
|
0.0009927560%
|
1.00000992766 |
0.0031686035%
|
1.0000316870 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
35
|
0.0007348917%
|
1.00000734897 |
0.0024287437%
|
1.0000242880 |
|
34
|
0.0005416953%
|
1.00000541698 |
0.0018547167%
|
1.0000185475 |
|
33
|
0.0003975903%
|
1.00000397592 |
0.0014110871%
|
1.0000141111 |
|
32
|
0.0002905787%
|
1.0000029058 |
0.0010695686%
|
1.0000106958 |
|
31
|
0.0002114643%
|
1.00000211465 |
0.0008076820%
|
1.0000080769 |
|
30
|
0.0001532337%
|
1.00000153234 |
0.0006076416%
|
1.0000060765 |
|
29
|
0.0001105640%
|
1.00000110564 |
0.0004554371%
|
1.0000045544 |
|
28
|
0.0000794353%
|
1.00000079435 |
0.0003400803%
|
1.0000034008 |
|
27
|
0.0000568267%
|
1.00000056827 |
0.0002529912%
|
1.0000025299 |
|
26
|
0.0000404789%
|
1.00000040479 |
0.0001874989%
|
1.0000018750 |
|
25
|
0.0000287105%
|
1.00000028711 |
0.0001384395%
|
1.0000013844 |
|
24
|
0.0000202763%
|
1.00000020276 |
0.0001018328%
|
1.0000010183 |
|
23
|
0.0000142583%
|
1.00000014258 |
0.0000746245%
|
1.0000007462 |
|
22
|
0.0000099834%
|
1.00000009983 |
0.0000544802%
|
1.0000005448 |
|
21
|
0.0000069602%
|
1.0000000696 |
0.0000396240%
|
1.0000003962 |
|
20
|
0.0000048317%
|
1.00000004832 |
0.0000287105%
|
1.0000002871 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
19
|
0.0000033396%
|
1.0000000334 |
0.0000207245%
|
1.0000002072 |
|
18
|
0.0000022984%
|
1.00000002298 |
0.0000149034%
|
1.0000001490 |
|
17
|
0.0000015750%
|
1.00000001575 |
0.0000106769%
|
1.0000001068 |
|
16
|
0.0000010746%
|
1.00000001075 |
0.0000076201%
|
1.0000000762 |
|
15
|
0.0000007301%
|
1.0000000073 |
0.0000054180%
|
1.0000000542 |
|
14
|
0.0000004938%
|
1.00000000494 |
0.0000038376%
|
1.0000000384 |
|
13
|
0.0000003326%
|
1.00000000333 |
0.0000027080%
|
1.0000000271 |
|
12
|
0.0000002230%
|
1.00000000223 |
0.0000019036%
|
1.0000000190 |
|
11
|
0.0000001489%
|
1.00000000149 |
0.0000013331%
|
1.0000000133 |
|
10
|
0.0000000990%
|
1.00000000099 |
0.0000009301%
|
1.0000000093 |
|
9
|
0.0000000655%
|
1.00000000066 |
0.0000006464%
|
1.0000000065 |
|
8
|
0.0000000432%
|
1.00000000043 |
0.0000004476%
|
1.0000000045 |
|
7
|
0.0000000283%
|
1.00000000028 |
0.0000003087%
|
1.0000000031 |
|
6
|
0.0000000185%
|
1.00000000019 |
0.0000002121%
|
1.0000000021 |
|
IQ
|
15 SD Percentile
|
Rarity: 1/X |
16 SD Percentile
|
Rarity: 1/X |
|
5
|
0.0000000120%
|
1.00000000012 |
0.0000001452%
|
1.0000000015 |
|
4
|
0.0000000078%
|
1.00000000008 |
0.0000000990%
|
1.0000000010 |
|
3
|
0.0000000050%
|
1.00000000005 |
0.0000000673%
|
1.0000000007 |
|
2
|
0.0000000032%
|
1.00000000003 |
0.0000000455%
|
1.0000000005 |
|
1
|
0.0000000021%
|
1.00000000002 |
0.0000000307%
|
1.0000000003 |
Filed under Humor and Observations
Random Humor
Some random humor for Hump Day. Hey, at least hump day came one day earlier thanks to Veterans Day…
- The new Ipad Touch for Visually Impaired…
Filed under Humor and Observations
Dig turns up 10,000-year-old artifacts in upstate NY
Dig turns up 10,000-year-old artifacts in upstate NY
-

Oct. 31, 2013: State Museum archaeologists Daniel Mazeau, right, and Aaron Gore remove a bucket of rocks and dirt from a dig site. (AP)
LAKE GEORGE, N.Y. – Archaeologists have uncovered 10,000-year-old Native American artifacts near a popular state-owned beach in the southern Adirondacks, making it among the earliest known occupied sites in New York state, officials announced Thursday.
The archaeological dig conducted ahead of a $3 million improvement project at Million Dollar Beach on Lake George has turned up thousands arrowheads, pieces of stone tools and other artifacts dating back to about 8,000 B.C., said Christina Rieth, the state’s head archaeologist.
“We certainly don’t find these kinds of sites every day,” said Rieth, who’s based at the New York State Museum in Albany. She and museum Director Mark Schaming held a news conference at the excavation site 55 miles north of Albany to announce the findings, which also included artifacts from the French and Indian War (1755-63).
The state is repaving the parking lot and access road at the beach, located on the southern end of the 32-mile-long lake. In late August, a team of archaeologists from the museum began digging just off the access road in a tree-shaded picnic area located a few hundred feet from the beach. In prehistoric times, the area would have been the shoreline, Rieth said.
The Native Americans who left behind projectile points and evidence of stone tool-making likely didn’t linger long at the site or any others, she said.
“It would be kind of a transit group, people who would have come here year after year for fishing or other types of activities around the lake,” Rieth said. “It’s unlikely they settled here.”
The find is significant even for Lake George, a popular summertime tourist village where history is literally underfoot. It hasn’t been uncommon over the years for 18th century military artifacts or even human skeletons to be dug up during routine public works projects or hotel expansions.
The latest discoveries occurred adjacent to the site of a French and Indian War battle in 1755, while nearby stands the full-scale replica of the fort the British built that year, only to be captured and destroyed by the French in 1757.
The southern end of the lake where the dig is being conducted would have been a popular hunting and fishing spot for the nomadic people of the Archaic Period, said John Hart, the museum’s director of research and collections.
“It was an area people would have come back to get those resources,” Hart said.
Schaming said some of the artifacts will eventually be displayed at the state museum.
Filed under Humor and Observations
Lunar Craters Covering Moon’s Near Side Are Bigger Than Far Side
Lunar Craters Covering Moon’s Near Side Are Bigger Than Far Side Due To Hemisphere Differences
When the Soviet probe Luna 3 sent back the first shots of the dark side of the Moon, they showed that it was noticeably more pockmarked by craters than the near side. The nearside crust, by contrast, had more large, shallow basins. More than 50 years after those images first baffled researchers,a study published today in Science explains the observations.
Some theories suggest that the large basins on the near side were caused by impacts from asteroids bigger than those that caused the craters on the far side. But the latest study suggests that the observed basins do not accurately reflect the size of the initial impact, because as asteroids battered the lunar surface in the early history of the Solar System, the Moon’s warmer and softer nearside crust melted like butter, producing giant lava flows that filled the impact craters and transformed them into basins.
To improve on previous estimates of the size and distribution of basins, the team behind the study used data from NASA’s Gravity Recovery and Interior Laboratory mission (GRAIL), two satellites that since 2011 have been orbiting the Moon and mapping subtle variations in the strength of its gravitational field. Basins are characterized by thinner crust, says first author Katarina Miljković, a planetary scientist at the Paris Institute of Earth Physics. The team used GRAIL’s gravity mapsto find such thin crust and measure the true size of the basins.
“We didn’t have to look at topography nearly at all, just at the crust thickness,” says Miljković. The researchers found that although both sides of the Moon had the same total number of impact craters, the near side had eight basins larger than 320 kilometers in diameter, whereas the far side had only one.
Hot hit
The asteroid bombardment should have battered both sides equally, Miljković points out. The asymmetry could have arisen from comparatively small objects punching above their weight on the near side, producing basins more easily than on the far side.
Simulations showed that if the largest dark area on the near side — the plain of volcanic rock known as Oceanus Procellarum — was hundreds of degrees hotter than crust on the far side, impacts there would produce basins up to twice as large as impacts from similar-sized bodies on the far side (see video above).
The findings fit well with the observations, but “there is no consensus” as to what caused the startling asymmetry in isotope content between the near side and the far side, says Jeffrey Taylor, a lunar scientist at the University of Hawaii in Honolulu. One leading theory posits that material rich in radioactive elements rose in a gigantic volcanic plume and formed a magma basin; another that it came from a collision with a sister moon around 1,000 kilometers in diameter.
William Bottke, a lunar scientist at the Southwest Research Institute in Boulder, Colorado, says that the work could lead researchers to revise just how dramatic asteroid bombardments were in the early Solar System. “This can be used to more accurately derive what the small-body populations were like four billion years ago.”
This story originally appeared in Nature News.
Filed under Humor and Observations
Learning to Drive a Car in 1898
Learning to Drive a Car in 1898
1898: How to Become a Driver
Source: Bibliotheque Nationale de France
Through Retronaut
Filed under Humor and Observations
































































































































