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Scientists claim the Bible is written in code that predicts future events
The controversy around the Torah codes gets a new life.
- Mathematicians claim to see a predictive pattern in the ancient Torah texts.
- The code is revealed by a method found with special computer software.
- Some events described by reading the code took place after the code was written.
Searching for patterns is how we make sense of the world. We look for meaning in the often-overwhelming chaos by making connections between symbols and events. Some times these are meaningful discoveries, resulting in good science and breakthrough insights. Other times, these patterns may lead nowhere but still help us focus energies on what's important.
One intriguing source of patterns that has emerged thanks to our development of computers is the Bible. Among humanity's oldest and arguably most influential pieces of writing, the Bible has been studied and analyzed phrase by phrase by countless scholars and devotees. But what computers have allowed us to do, thanks to the work of Israeli mathematicians, is to see that the ancient text may be not only an intricately-weaved collection of spiritual stories and teachings but a code that speaks to the inner workings of history.
"The Bible Code," a 1997 book by the reporter Michael Drosnin popularized the idea. His book claimed to use the earliest parts of the Bible to predict the assassination of the Israeli Prime Minister Yitzhak Rabin, the Gulf war, and comet collisions. It also seemed to have information about the Holocaust, various other assassinations like those of JFK and his brother Robert. It similarly suggested a nuclear war was looming – a theme the author explored in subsequent books of the "Bible Code" series.
The inspiration for Drosnin's book came from the 1994 paper "Equidistant Letter Sequences in the Book of Genesis," published in the journal Statistical Science by mathematicians Doron Witztum, Eliyahu Rips and Yoav Rosenberg. They presented statistical evidence that information about the lives of famous rabbis was encoded in the Hebrew text of the Book of Genesis, hundreds of years before those rabbis lived.
Dr. Eliyahu Rips is one of the world's leading experts on group theory and is the scientist who got most closely associated with the "Bible Code" hypothesis, even though the software used to implement the word search was designed by both Rips and Witztum.
Dr. Eliyahu Rips. 2017.
Rips later distanced himself from Drosnin's book. In a 1997 statement on the matter, he pointed out that he didn't make or support some of the specific predictions Drosnin claimed. Nonetheless, Rips wrote quite clearly that "the only conclusion that can be drawn from the scientific research regarding the Torah codes is that they exist and that they are not a mere coincidence."
The method used by the scientists to arrive at their conclusions is the Equidistant Letter Sequence (ELS). To get a word with some meaning, this method calls you to pick a starting point in a text and a skip number. And then, start selecting letters while skipping the same number of spaces every time (pretty much in any direction). If you're lucky, a sensible word will be spelled out. This method works well if letters are arranged in an array, like this one –
The Bible Code made a recent re-appearance in the public consciousness thanks to the work of author and fourth-generation antiques expert Timothy Smith. His 2017 book "The Chamberlain Key" describes how following 25 years of research, he unlocked a "God code" in the Bible. He calls his book "the Da Vinci Code on steroids, but it's true."
Smith's decoding work is based on his own ancient copy of the Bible titled "The Leningrad Codex" - it's the oldest complete manuscript of the Hebrew Old Testament. Smith used a computer-driven application of the ELS method, as well as code-breaking techniques and his intimate knowledge of ancient and aboriginal ceremonial devices like scepters, crowns and thrones to arrive at his reading of the Bible.
Smith is a devout Christian and his conclusions revolve around Christian motifs. In particular, he claims to have found detailed informations about Jesus's birth, crucifixion and resurrection within a passage in Genesis.
The book has received a special on the History channel and a documentary series is being made about the travels leading to Smith's discoveries.
David McKillop, the executive producer for Jupiter Entertainment, which is creating the TV series, said that "Tim's quest is the ultimate treasure hunt for one of history's greatest mysteries, and his map is an ancient text that could possibly be talking to us."
Here's the History Channel's teaser for Smith's TV special
If you think there can't possibly be any pattern in the Bible and other long texts may produce similar results - there are studies for you too. The Australian computer scientist Brendan McKay famously came up with a table of assassination predictions in "Moby Dick".
While the Bible or "Torah Codes" can be criticized, there is scholarly evidence that ancient writers of the Bible, like Matthew, "consciously used numerical patterns or codes in their compositions," as writes Dr. Randall Buth, the director of the Biblical Language Center and a lecturer at the Hebrew University in Jerusalem.
Another factor we should keep in mind that our understanding of how time and history work very much depends on our frame of reference. If time flows differently, for example as proposed by the Block Universe Theory, all bets would be off and a book could theoretically contain the code of history both of the past and the future.
Andy Samberg and Cristin Milioti get stuck in an infinite wedding time loop.
- Two wedding guests discover they're trapped in an infinite time loop, waking up in Palm Springs over and over and over.
- As the reality of their situation sets in, Nyles and Sarah decide to enjoy the repetitive awakenings.
- The film is perfectly timed for a world sheltering at home during a pandemic.
Richard Feynman once asked a silly question. Two MIT students just answered it.
Here's a fun experiment to try. Go to your pantry and see if you have a box of spaghetti. If you do, take out a noodle. Grab both ends of it and bend it until it breaks in half. How many pieces did it break into? If you got two large pieces and at least one small piece you're not alone.
But science loves a good challenge<p>The mystery remained unsolved until 2005, when French scientists <a href="http://www.lmm.jussieu.fr/~audoly/" target="_blank">Basile Audoly</a> and <a href="http://www.lmm.jussieu.fr/~neukirch/" target="_blank">Sebastien Neukirch </a>won an <a href="https://www.improbable.com/ig/" target="_blank">Ig Nobel Prize</a>, an award given to scientists for real work which is of a less serious nature than the discoveries that win Nobel prizes, for finally determining why this happens. <a href="http://www.lmm.jussieu.fr/spaghetti/audoly_neukirch_fragmentation.pdf" target="_blank">Their paper describing the effect is wonderfully funny to read</a>, as it takes such a banal issue so seriously. </p><p>They demonstrated that when a rod is bent past a certain point, such as when spaghetti is snapped in half by bending it at the ends, a "snapback effect" is created. This causes energy to reverberate from the initial break to other parts of the rod, often leading to a second break elsewhere.</p><p>While this settled the issue of <em>why </em>spaghetti noodles break into three or more pieces, it didn't establish if they always had to break this way. The question of if the snapback could be regulated remained unsettled.</p>
Physicists, being themselves, immediately wanted to try and break pasta into two pieces using this info<p><a href="https://roheiss.wordpress.com/fun/" target="_blank">Ronald Heisser</a> and <a href="https://math.mit.edu/directory/profile.php?pid=1787" target="_blank">Vishal Patil</a>, two graduate students currently at Cornell and MIT respectively, read about Feynman's night of noodle snapping in class and were inspired to try and find what could be done to make sure the pasta always broke in two.</p><p><a href="http://news.mit.edu/2018/mit-mathematicians-solve-age-old-spaghetti-mystery-0813" target="_blank">By placing the noodles in a special machine</a> built for the task and recording the bending with a high-powered camera, the young scientists were able to observe in extreme detail exactly what each change in their snapping method did to the pasta. After breaking more than 500 noodles, they found the solution.</p>
The apparatus the MIT researchers built specifically for the task of snapping hundreds of spaghetti sticks.
(Courtesy of the researchers)
What possible application could this have?<p>The snapback effect is not limited to uncooked pasta noodles and can be applied to rods of all sorts. The discovery of how to cleanly break them in two could be applied to future engineering projects.</p><p>Likewise, knowing how things fragment and fail is always handy to know when you're trying to build things. Carbon Nanotubes, <a href="https://bigthink.com/ideafeed/carbon-nanotube-space-elevator" target="_self">super strong cylinders often hailed as the building material of the future</a>, are also rods which can be better understood thanks to this odd experiment.</p><p>Sometimes big discoveries can be inspired by silly questions. If it hadn't been for Richard Feynman bending noodles seventy years ago, we wouldn't know what we know now about how energy is dispersed through rods and how to control their fracturing. While not all silly questions will lead to such a significant discovery, they can all help us learn.</p>
The multifaceted cerebellum is large — it's just tightly folded.
- A powerful MRI combined with modeling software results in a totally new view of the human cerebellum.
- The so-called 'little brain' is nearly 80% the size of the cerebral cortex when it's unfolded.
- This part of the brain is associated with a lot of things, and a new virtual map is suitably chaotic and complex.
Just under our brain's cortex and close to our brain stem sits the cerebellum, also known as the "little brain." It's an organ many animals have, and we're still learning what it does in humans. It's long been thought to be involved in sensory input and motor control, but recent studies suggests it also plays a role in a lot of other things, including emotion, thought, and pain. After all, about half of the brain's neurons reside there. But it's so small. Except it's not, according to a new study from San Diego State University (SDSU) published in PNAS (Proceedings of the National Academy of Sciences).
A neural crêpe
A new imaging study led by psychology professor and cognitive neuroscientist Martin Sereno of the SDSU MRI Imaging Center reveals that the cerebellum is actually an intricately folded organ that has a surface area equal in size to 78 percent of the cerebral cortex. Sereno, a pioneer in MRI brain imaging, collaborated with other experts from the U.K., Canada, and the Netherlands.
So what does it look like? Unfolded, the cerebellum is reminiscent of a crêpe, according to Sereno, about four inches wide and three feet long.
The team didn't physically unfold a cerebellum in their research. Instead, they worked with brain scans from a 9.4 Tesla MRI machine, and virtually unfolded and mapped the organ. Custom software was developed for the project, based on the open-source FreeSurfer app developed by Sereno and others. Their model allowed the scientists to unpack the virtual cerebellum down to each individual fold, or "folia."
Study's cross-sections of a folded cerebellum
Image source: Sereno, et al.
A complicated map
Sereno tells SDSU NewsCenter that "Until now we only had crude models of what it looked like. We now have a complete map or surface representation of the cerebellum, much like cities, counties, and states."
That map is a bit surprising, too, in that regions associated with different functions are scattered across the organ in peculiar ways, unlike the cortex where it's all pretty orderly. "You get a little chunk of the lip, next to a chunk of the shoulder or face, like jumbled puzzle pieces," says Sereno. This may have to do with the fact that when the cerebellum is folded, its elements line up differently than they do when the organ is unfolded.
It seems the folded structure of the cerebellum is a configuration that facilitates access to information coming from places all over the body. Sereno says, "Now that we have the first high resolution base map of the human cerebellum, there are many possibilities for researchers to start filling in what is certain to be a complex quilt of inputs, from many different parts of the cerebral cortex in more detail than ever before."
This makes sense if the cerebellum is involved in highly complex, advanced cognitive functions, such as handling language or performing abstract reasoning as scientists suspect. "When you think of the cognition required to write a scientific paper or explain a concept," says Sereno, "you have to pull in information from many different sources. And that's just how the cerebellum is set up."
Bigger and bigger
The study also suggests that the large size of their virtual human cerebellum is likely to be related to the sheer number of tasks with which the organ is involved in the complex human brain. The macaque cerebellum that the team analyzed, for example, amounts to just 30 percent the size of the animal's cortex.
"The fact that [the cerebellum] has such a large surface area speaks to the evolution of distinctively human behaviors and cognition," says Sereno. "It has expanded so much that the folding patterns are very complex."
As the study says, "Rather than coordinating sensory signals to execute expert physical movements, parts of the cerebellum may have been extended in humans to help coordinate fictive 'conceptual movements,' such as rapidly mentally rearranging a movement plan — or, in the fullness of time, perhaps even a mathematical equation."
Sereno concludes, "The 'little brain' is quite the jack of all trades. Mapping the cerebellum will be an interesting new frontier for the next decade."
What happens if we consider welfare programs as investments?
- A recently published study suggests that some welfare programs more than pay for themselves.
- It is one of the first major reviews of welfare programs to measure so many by a single metric.
- The findings will likely inform future welfare reform and encourage debate on how to grade success.
Welfare as an investment<p>The <a href="https://scholar.harvard.edu/files/hendren/files/welfare_vnber.pdf" target="_blank">study</a>, carried out by Nathaniel Hendren and Ben Sprung-Keyser of Harvard University, reviews 133 welfare programs through a single lens. The authors measured these programs' "Marginal Value of Public Funds" (MVPF), which is defined as the ratio of the recipients' willingness to pay for a program over its cost.</p><p>A program with an MVPF of one provides precisely as much in net benefits as it costs to deliver those benefits. For an illustration, imagine a program that hands someone a dollar. If getting that dollar doesn't alter their behavior, then the MVPF of that program is one. If it discourages them from working, then the program's cost goes up, as the program causes government tax revenues to fall in addition to costing money upfront. The MVPF goes below one in this case. <br> <br> Lastly, it is possible that getting the dollar causes the recipient to further their education and get a job that pays more taxes in the future, lowering the cost of the program in the long run and raising the MVPF. The value ratio can even hit infinity when a program fully "pays for itself."</p><p> While these are only a few examples, many others exist, and they do work to show you that a high MVPF means that a program "pays for itself," a value of one indicates a program "breaks even," and a value below one shows a program costs more money than the direct cost of the benefits would suggest.</p> After determining the programs' costs using existing literature and the willingness to pay through statistical analysis, 133 programs focusing on social insurance, education and job training, tax and cash transfers, and in-kind transfers were analyzed. The results show that some programs turn a "profit" for the government, mainly when they are focused on children:
This figure shows the MVPF for a variety of polices alongside the typical age of the beneficiaries. Clearly, programs targeted at children have a higher payoff.
Nathaniel Hendren and Ben Sprung-Keyser<p>Programs like child health services and K-12 education spending have infinite MVPF values. The authors argue this is because the programs allow children to live healthier, more productive lives and earn more money, which enables them to pay more taxes later. Programs like the preschool initiatives examined don't manage to do this as well and have a lower "profit" rate despite having decent MVPF ratios.</p><p>On the other hand, things like tuition deductions for older adults don't make back the money they cost. This is likely for several reasons, not the least of which is that there is less time for the benefactor to pay the government back in taxes. Disability insurance was likewise "unprofitable," as those collecting it have a reduced need to work and pay less back in taxes. </p>