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All Garry G. needs is a sheet of paper, and 10 minutes — then he'll make a winning ticket out of your $5…
Firstly to be clear, Lotto Master Formula (also referred to as ‘Lottery Master Formula') is a downloadable ebook. It's nothing to do with the old LottoMaster software which is no longer available.
What He Says
- This is proven 131 times over
- an accuracy of 66.2% for the jackpot
- look at all my prize winning evidence
- my Uncle Jack won big too
Looking a Bit Closer
There are quite a few big claims here, so lets take a look at those first.
Apparently we have 131 people who have so far bought this system and proven it works. Or as Garry G puts it, have had ‘extraordinary success'. The apparent proof of this comes below the claim in the form of 10 screenprints of emails received.
But curiously 9 of these don't make any claims to having won anything at all. The 10th claims a decent win of $750,000+, but is anonymous so we have no way to verify this one.
And things just seem to get more confusing from here.
The headline on the site says we need $5 to play this system, but later on it says $10 or $20.
And we're not sure if the system is supposed to have been developed by Garry G, Greg or Gregory – all are mentioned!
The winners photos shown are supposed to all be Garry. But they are for various different States and countries, which does seem strange. Why play other countries games when you can simply win at home?
Perhaps these were all just nice holidays funded by previous lottery winnings.
But the Gibraltar one which states it was a vacation throws up more confusion. That ‘Party Bingo Lottery' winnings letter is unfortunately a known lottery scam..! Gibraltar does have a national lottery, but this is not it.
So it's not a real lottery game, and the winnings referred to are not real either. I've also been told that the picture used can actually be traced back to a website warning people about that particular scam letter. The Gibraltarian Government have also made a public statement about it too.
All very strange.
Also, you remember those 131 people that have ‘proven' the system? Well, the website has said both that, and that there are only 500 copies for sale since at least June 2011.
What I Think
So we have a lot of inconsistent claims here, which don't provide much in the way of fuzzy reassurance.
But what of the actual system itself.
Well, it's more disappointment I'm afraid.
Because it's not really a system. Certainly not in the way it's described. This book is a general overview of lots of theoretical ways to analyse lottery games. Frequency analysis, positional analysis, repeat numbers, skip/hits, hold/cold, wheeling – it's all here. But it's a very short book and nothing is covered in any depth.
I also say theoretical because despite this content originating (more on that in a moment) back in 1991, and the theories themselves being far older than that – there remains no evidence that this kind of analysis produces combinations that are any more likely to win than a quick pick!
Yes, large numbers of people do avidly use these methods. And sometimes they win. But large numbers of people also play quick picks – and they win too.
Big Problem
But the biggest problem of all, as I alluded to above, is that this book is not just repurposed from old material. This is actually a word-for-word identical copy of this book on Amazon.
And I do mean identical – right down to the charts, diagrams and old fashioned drawings. It's also 5 times the price of ‘The Basics Of Winning Lotto/Lottery' by ‘Prof. Jones'!
If we also come back to the claims on the website however, things don't seem to bear any real resemblance to what you actually get. I don't see where the 66.2% jackpot accuracy makes any appearance in the book, or the 78.9% for smaller wins for example. There isn't really a formula here, or even any kind of cohesive strategy.
In Conclusion
So is the Lotto Master Formula real? Well, I'll leave that to your judgement.
Clearly it isn't worth paying $97 for a downloadable copy, when you can get a proper book version of exactly the same thing from Amazon for less than $20. Just under a different title.
But frankly I struggled to find even $20 of value in it.
UPDATE: You can now get the Kindle version from Amazon of the original book for just $0.99! So if you're curious, get that (you can get Kindle reader software for pretty much any computer or smartphone now). Otherwise, buy a lottery ticket instead 🙂
Born | Germany |
---|---|
Nationality | German[1] |
Alma mater | Harvard |
Known for | Julia (programming language), and projects including Celeste, and exaflops project to remediate nuclear waste |
Awards | Individual: Forbes 2019 30 Under 30 – Enterprise Technology For collaboration with others: 2017 HPC Innovation Excellence Award |
Scientific career | |
Fields | Computer science, Mathematics |
Website | https://github.com/Keno |
Keno Fischer is a German computer scientist known for being a core member implementing the Julia programming language[2] (e.g. its Windows support).[3][4][5][6][7] He is an alumnus of Harvard for both his BA and MA. He works at Julia Computing, which he co-founded with Julia co-creators, Alan Edelman, Jeff Bezanson, Viral B. Shah as well as Deepak Vinchhi.[8] He received a B.A. in mathematics and physics from Harvard in 2016,[9] and he completed a Master of Arts in Physics also from Harvard in 2016.
At the age of 25, Fischer was selected by Forbes for their 2019 30 Under 30 – Enterprise Technology list[10] for his work with Julia Computing company.
Fischer, along with the rest of the Celeste team,[11] was awarded the 2017 HPC Innovation Excellence Award for 'the outstanding application of HPC for business and scientific achievements.'[12] The Celeste project, that ran on a top 6 supercomputer 'created the first comprehensive catalog of visible objects in our universe by processing 178 terabytes of SDSS (Sloan Digital Sky Survey) data'.[13] 'Collecting all known data about the visible universe into a meaningful model certainly is a big data problem.'[14]
Fischer is one of the computer exascale simulation researchers helping to remediate nuclear waste, in a collaboration including e.g. Brown University, Nvidia, Lawrence Berkeley National Laboratory with 'a deep learning application [..] focused on the Hanford Site, established in 1943 as part of the Manhattan Project to produce plutonium for nuclear weapons and eventually home to the first full-scale plutonium production reactor in the world [..] When plutonium production ended in 1989, left behind were tens of millions of gallons of radioactive and chemical waste in large underground tanks and more than 100 square miles of contaminated groundwater [..] the team was able to achieve 1.2 exaflop peak and sustained performance – the first example of a large-scale GAN architecture applied to SPDEs.'[15] 'They trained the GAN on the Summit supercomputer, which (as of the June 2019 Top500 list) remains the world's fastest publicly-ranked supercomputer at 148.6 Linpack petaflops. The team achieved peak and sustained performance of 1.2 exaflops, scaling to 27,504 of Summit's Nvidia V100 GPUs and 4,584 of its nodes. [..] This physics-informed GAN, trained by HPC, allowed the researchers to quantify their uncertainties about the subsurface flow in the site.'[16] The site is 'one of the most contaminated sites in the western hemisphere'.[17]
Fischer is also the lead programmer of several projects using the Julia language, e.g. Cxx.jl[18] and XLA.jl (to support Google's TPUs).[19] And works on supporting Julia language on WebAssembly. Mozilla, the maker of Firefox web browser, with its research grants for H1 2019, sponsored 'a member of the official Julia team' for the project 'Bringing Julia to the Browser'.[20] He also has worked on Mozilla's rr tool.
See also[edit]
References[edit]
Keno Masters
- ^'r/IAmA - Comment by u/loladiro on 'We've spent the past 9 years developing a new programming language. We're the core developers of the Julia Programming Language. AuA.''. reddit. Retrieved December 20, 2020.
- ^'From Tree Leaves to Galaxies: Keno Fischer's Interview with Robin.ly - Julia Computing'. juliacomputing.com. Retrieved December 20, 2020.
how a 16 year-old German exchange student became a 19 year-old co-founder of Julia Computing
- ^'Why the creators of the Julia programming language just launched a startup'. VentureBeat. Retrieved June 20, 2016.
- ^Bryant, Avi (October 15, 2012). 'Matlab, R, and Julia: Languages for data analysis'. O'Reilly Strata. Archived from the original on May 24, 2013.
- ^Krill, Paul (April 18, 2012). 'New Julia language seeks to be the C for scientists'. InfoWorld. Retrieved October 13, 2020.
- ^Finley, Klint (February 3, 2014). 'Out in the Open: Man Creates One Programming Language to Rule Them All'. Wired.
- ^Gibbs, Mark (January 9, 2013). 'Pure and Julia are cool languages worth checking out'. Computerworld. Retrieved October 13, 2020.
- ^www.ETtech.com. 'Julia founders create new startup to take language commercial | ETtech'. ETtech.com. Retrieved June 20, 2016.
- ^Fischer, Keno. 'Resume'. linkedin.com. Retrieved October 2, 2020.
- ^'Keno Fischer on Forbes 30 under 30'. Forbes. Retrieved October 2, 2020.
- ^Regier, Jeffrey; Fischer, Keno; Pamnany, Kiran; Noack, Andreas; Revels, Jarrett; Lam, Maximilian; Howard, Steve; Giordano, Ryan; Schlegel, David; McAuliffe, Jon; Thomas, Rollin (May 1, 2019). 'Cataloging the visible universe through Bayesian inference in Julia at petascale'. Journal of Parallel and Distributed Computing. 127: 89–104. arXiv:1801.10277. doi:10.1016/j.jpdc.2018.12.008. ISSN0743-7315.
- ^'National Energy Research Scientific Computing Center: 2017 Annual Report'(PDF). US Department of Energy: Office of Science. 2017.
- ^Farber, Rob (November 28, 2017). 'Julia Language Delivers Petascale HPC Performance'. The Next Platform. Retrieved October 13, 2020.
- ^'A Big Data Journey While Seeking to Catalog our Universe'. HPCwire. January 16, 2019. Retrieved October 13, 2020.
- ^'Deep Learning Expands Study of Nuclear Waste Remediation'. cs.lbl.gov. Retrieved October 14, 2020.
- ^'Leveraging Exaflops Performance to Remediate Nuclear Waste'. HPCwire. November 12, 2019. Retrieved October 14, 2020.
- ^Yang, Liu; Treichler, Sean; Kurth, Thorsten; Fischer, Keno; Barajas-Solano, David; Romero, Josh; Churavy, Valentin; Tartakovsky, Alexandre; Houston, Michael; Prabhat; Karniadakis, George (October 28, 2019). 'Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs'. arXiv:1910.13444 [physics.comp-ph].
- ^'JuliaInterop/Cxx.jl'. Retrieved December 20, 2020.
- ^Fischer, Keno; Saba, Elliot (October 23, 2018). 'Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs'. arXiv:1810.09868 [cs.PL].
- ^Cimpanu, Catalin. 'Mozilla is funding a way to support Julia in Firefox'. ZDNet. Retrieved September 22, 2019.