Who said that was my calculation? I clicked on the link and watched the video in the OP. Do the same you will see where that number came from.
Why would any bitcoiner NOT leave and transfers to the next alt coin if that scenario was coming, no matter 1 billion or 75M?

The Guardian US and the Washington Post are among the winners of a prestigious journalistic Pulitzer award. The newspapers shared the 2014 Pulitzer Prize for Public Service Reporting for coverage of NSA surveillance and whistleblower Snowden’s leaks.

FEDS TO PURSUE BUNDY RANCH ‘JUDICIALLY’ AFTER STANDOFF

Despite aborting their roundup and allowing “trespassing” cattle returned to the Bundy ranch in southern Nevada, the federal Bureau of Land Management (BLM) recently offered public statements claiming it would continue to pursue the ranchers in court. Should the agency choose to do so, it would be the third time federal courts were utilized in the matter.

BLM spokesman Craig Leff told the Associated Press the agency was in no way ceasing its efforts with Cliven Bundy, claiming he would be pursued “administratively and judicially." Leff added that the BLM will “figure out how to move forward with this” and that “the door isn’t closed.”

According to the wire report, what may have appeared to be a resolution to the standoff evidenced by the returning of the cattle was only a temporary measure, according to Las Vegas Police Lt. Dan Zehnder. Lt. Zehnder claimed that that Clark County Sheriff Doug Gillespie negotiated a short-term resolution with the Bundy family without the BLM or the National Park Service (NPS) being direct parties to the discussion.
The BLM affirmed local law enforcement’s claims on the matter.
"The BLM and National Park Service did not cut any deal and negotiate anything," BLM spokesman Leff said. "There was no deal we made."
As Breitbart News recently reported in detail, the Bundy family and the U.S. Department of the Interior are no strangers to one another in “administrative” and “judicial” conflict resolution scenarios. The parties locked horns beginning in 1994 after the BLM revoked the family’s grazing permit for alleged failure to renew use rights. Around the same time, BLM changed the terms of grazing rights--forcing users to reduce herd sizes in an effort to protect a tortoise that inhabited the area. The following two decades were filled with administrative threats, federal court orders with appeals and claimed attempts to cut deals.
It was not until April 2014 that the BLM acted to impound “trespassing” cattle in compliance with a court order that was originally issued in late 1998. The 9th U.S. Circuit Court of Appeals upheld a fresh court order from 2013 to perform the same action.
It remains to be seen if the BLM and NPS will actually seek a third order.


http://www.breitbart.com/Big-Government/2014/04/14/Feds-to-Pursue-Bundy-Ranch-Judicially-After-Standoff

Instant 500 million + market for their alt coin. Could be bad news for paypal too.

Database will include non-criminal photos as well as mugshots.





New documents released by the FBI show that the Bureau is well on its way toward its goal of a fully operational face recognition database by this summer.

The EFF received these records in response to our Freedom of Information Act lawsuit for information on Next Generation Identification (NGI)—the FBI’s massive biometric database that may hold records on as much as one-third of the US population. The facial recognition component of this database poses real threats to privacy for all Americans.

What is NGI?

NGI builds on the FBI’s legacy fingerprint database—which already contains well over 100 million individual records—and has been designed to include multiple forms of biometric data, including palm prints and iris scans in addition to fingerprints and face recognition data. NGI combines all these forms of data in each individual’s file, linking them to personal and biographic data like name, home address, ID number, immigration status, age, race, etc. This immense database is shared with other federal agencies and with the approximately 18,000 tribal, state, and local law enforcement agencies across the United States.

The records we received show that the face recognition component of NGI may include as many as 52 million face images by 2015. By 2012, NGI already contained 13.6 million images representing between 7 and 8 million individuals, and by the middle of 2013, the size of the database increased to 16 million images. The new records reveal that the database will be capable of processing 55,000 direct photo enrollments daily and of conducting tens of thousands of searches every day.

NGI will include non-criminal as well as criminal photos

One of our biggest concerns about NGI has been the fact that it will include non-criminal as well as criminal face images. We now know that FBI projects that by 2015, the database will include 4.3 million images taken for non-criminal purposes.

Currently, if you apply for any type of job that requires fingerprinting or a background check, your prints are sent to and stored by the FBI in its civil print database. However, the FBI has never before collected a photograph along with those prints. This is changing with NGI. Now an employer could require you to provide a “mug shot” photo along with your fingerprints. If that’s the case, then the FBI will store both your face print and your fingerprints along with your biographic data.

In the past, the FBI has never linked the criminal and non-criminal fingerprint databases. This has meant that any search of the criminal print database (such as to identify a suspect or a latent print at a crime scene) would not touch the non-criminal database. This will also change with NGI. Now, every record—whether criminal or non—will have a “Universal Control Number” (UCN), and every search will be run against all records in the database. This means that even if you have never been arrested for a crime, if your employer requires you to submit a photo as part of your background check, your face image could be searched—and you could be implicated as a criminal suspect—just by virtue of having that image in the non-criminal file.

Many states are already participating in NGI

The records detail the many states and law enforcement agencies the FBI has already been working with to build out its database of images (see map below). By 2012, nearly half of US states had at least expressed an interest in participating in the NGI pilot program, and several of those states had already shared their entire criminal mugshot database with the FBI. The FBI hopes to bring all states online with NGI by this year.

The FBI worked particularly closely with Oregon through a special project called “Face Report Card.” The goal of the project was to determine and provide feedback on the quality of the images that states already have in their databases. Through Face Report Card, examiners reviewed 14,408 of Oregon’s face images and found significant problems with image resolution, lighting, background and interference. Examiners also found that the median resolution of images was “well-below” the recommended resolution of .75 megapixels (in comparison, newer iPhone cameras are capable of 8 megapixel resolution).

FBI disclaims responsibility for accuracy

At such a low resolution, it is hard to imagine that identification will be accurate.1 However, the FBI has disclaimed responsibility for accuracy, stating that “[t]he candidate list is an investigative lead, not an identification.”

Because the system is designed to provide a ranked list of candidates, the FBI states NGI never actually makes a “positive identification,” and “therefore, there is no false positive rate.” In fact, the FBI only ensures that “the candidate will be returned in the top 50 candidates” 85 percent of the time “when the true candidate exists in the gallery.”

It is unclear what happens when the “true candidate” does not exist in the gallery—does NGI still return possible matches? Could those people then be subject to criminal investigation for no other reason than that a computer thought their face was mathematically similar to a suspect’s? This doesn’t seem to matter much to the FBI—the Bureau notes that because “this is an investigative search and caveats will be prevalent on the return detailing that the [non-FBI] agency is responsible for determining the identity of the subject, there should be NO legal issues.”

Nearly 1 million images will come from unexplained sources

One of the most curious things to come out of these records is the fact that NGI may include up to one million face images in two categories that are not explained anywhere in the documents. According to the FBI, by 2015, NGI may include:

46 million criminal images
4.3 million civil images
215,000 images from the Repository for Individuals of Special Concern (RISC)
750,000 images from a "Special Population Cognizant" (SPC) category
215,000 images from "New Repositories"
However, the FBI does not define either the “Special Population Cognizant” database or the "new repositories" category. This is a problem because we do not know what rules govern these categories, where the data comes from, how the images are gathered, who has access to them, and whose privacy is impacted.

A 2007 FBI document available on the Web describes SPC as “a service provided to Other Federal Organizations (OFOs), or other agencies with special needs by agreement with the FBI” and notes that “[t]hese SPC Files can be specific to a particular case or subject set (e.g., gang or terrorist related), or can be generic agency files consisting of employee records.” If these SPC files and the images in the "new repositories" category are assigned a Universal Control Number along with the rest of the NGI records, then these likely non-criminal records would also be subject to invasive criminal searches.

Government contractor responsible for NGI has built some of the largest face recognition databases in the world

The company responsible for building NGI’s facial recognition component—MorphoTrust (formerly L-1 Identity Solutions)—is also the company that has built the face recognition systems used by approximately 35 state DMVs and many commercial businesses.2 MorphoTrust built and maintains the face recognition systems for the Department of State, which has the “largest facial recognition system deployed in the world” with more than 244 million records,3 and for the Department of Defense, which shares its records with the FBI.

The FBI failed to release records discussing whether MorphoTrust uses a standard (likely proprietary) algorithm for its face templates. If it does, it is quite possible that the face templates at each of these disparate agencies could be shared across agencies—raising again the issue that the photograph you thought you were taking just to get a passport or driver’s license is then searched every time the government is investigating a crime. The FBI seems to be leaning in this direction: an FBI employee e-mail notes that the “best requirements for sending an image in the FR system” include “obtain[ing] DMV version of photo whenever possible.”

Why should we care about NGI?

There are several reasons to be concerned about this massive expansion of governmental face recognition data collection. First, as noted above, NGI will allow law enforcement at all levels to search non-criminal and criminal face records at the same time. This means you could become a suspect in a criminal case merely because you applied for a job that required you to submit a photo with your background check.

Second, the FBI and Congress have thus far failed to enact meaningful restrictions on what types of data can be submitted to the system, who can access the data, and how the data can be used. For example, although the FBI has said in these documents that it will not allow non-mugshot photos such as images from social networking sites to be saved to the system, there are no legal or even written FBI policy restrictions in place to prevent this from occurring. As we have stated before, the Privacy Impact Assessment for NGI’s face recognition component hasn’t been updated since 2008, well before the current database was even in development. It cannot therefore address all the privacy issues impacted by NGI.

Finally, even though the FBI claims that its ranked candidate list prevents the problem of false positives (someone being falsely identified), this is not the case. A system that only purports to provide the true candidate in the top 50 candidates 85 percent of the time will return a lot of images of the wrong people. We know from researchers that the risk of false positives increases as the size of the dataset increases—and at 52 million images, the FBI’s face recognition is a very large dataset. This means that many people will be presented as suspects for crimes they didn’t commit. This is not how our system of justice was designed, and it should not be a system that Americans tacitly consent to move toward.

http://arstechnica.com/tech-policy/2014/04/fbi-to-have-52-million-photos-in-its-ngi-face-recognition-database-by-next-year/

If you guys watched the video the Russians and pretty much every state that can send people into space see Helium 3 mining on the Moon to be cost effective, even with today's technology

Relax.... Breath...

https://www.youtube.com/watch?v=k8LqlMzEe-I 

https://www.google.com/search?q=https%3A%2F%2Fbitcointalk.org%3A51%25+attack&oq=https%3A%2F%2Fbitcointalk.org%3A51%25+attack&aqs=chrome..69i57.8877j0j1&sourceid=chrome&es_sm=122&ie=UTF-8

It's all good when you know how to use the tools the internet gives you. Relax.

So someone will buy 1 billion worth of machines to destroy bitcoin. The thing is if someone buys that much of ASIC power it will increase the value of bitcoin because that would be the number one news on Coindesk, bloomberg, etc for a while. That someone would have increased his capital just by simply buying the gear. Next is the 51% attack to destroy bitcoin. Way before the value of bitcoin goes down to zero, a lot of bitcoiners would have converted to another alt coin, making that new alt coin the new Gold crypto. Since his Asic were specifically made for bitcoin mining, that someone will need to invest in another billion to break that new gold crypto.
Meanwhile investors are looking into that someone (most likely an evil bank in that scenario) and wonder why their money is spent so foolishly then will force a change the board direction or walk with their captial.

You don't need 1 billion to kill bitcoin. You would need multiple of billions and even that does not guaranty anything.

Does that story make sense to you?

So you've made a thread defending Apple and their move regarding bitcoin, but only now realized Apple forcing bitcoin out of its ecosystem was bad? I don't know about your thread so I could be wrong.

Better late than never I guess. I love my ipad and my 11 year old ipod, but windows 8.1 all the way baby! (and Ubuntu, and Lightworks and Gimp and Krita + cheap tablet from monoprice.com )

So many options on the creative front. No need to love the golden cage exclusively anymore. Jobs is dead.

Click on dank's name then click "trust". That put Vod's replies in a much precise perspective.

Mining Helium-3 On the Moon
http://youtu.be/94rEqHP9dOQ

So how of that stuff can we extract before the lunar to Earth weight ratio makes the Moon spin out into space?

http://youtu.be/NUmd6RQLQds

Missouri To Deploy Ear-Splitting LRAD Sound Cannons To Deter Speeders

The Missouri DoT plans to blast a high-pitched siren, very loudly, along with warnings to “slow down” to drivers.

The LRAD first came to prominence over the last decade, as it was found to be a non-lethal cureall for riotous crowd control, and also pirate defense. Point an LRAD at someone who finds whatever you’re doing disagreeable, fire the sucker up, and suddenly they are blasted with up to 153 decibels of noise.P

And how loud is 153 decibels? Well, lets put it this way: a standard-issue firework, if there is such a thing, exploding three feet away from you is slightly quieter. A Boeing 747 taking off right next to your head is much quieter.

http://jalopnik.com/missouri-to-deploy-ear-splitting-lrad-sound-cannons-to-1562542772/+robertsorokanich

Nice. Now we need to go beyond the Moon... Russian style
http://youtu.be/16rktAcZ0AE

Option A feels right to me.

But let's say Dank ends up into an art gallery and starts writing what he thinks, live to a a Californian wine sipping audience. He then cut all his thoughts into elements and sells them $10000 each.

He will be known as a genius.

Shot down by the missing passengers from those empty planes hitting the Pentagon on 9/11, passengers turned into remote controlled zombies, themselves controlling remote controlled semi sentient drones from the underground bunkers at the UN. They need no food, just the strong artificial UV light hitting their skin is enough for energy.

If true it shows how far these uncontrolled remote psychos are gone.