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      "body": "These lessons learned  is what worked for me. Your situation may be different. This code is designed to be used on your own data. This is a n=1 experiment it is not statistically representative of any population. This was not a scientific experiment, or a \"study\"; rather, it was a personal journey of experimentation and discovery. But evolution has been hard at work for over 2 billion years shaping the chemistry of all eukaryotes, multi-cellular life and eventually mammals. The Krebs cycle, glucose metabolism, insulin spikes, glycogen in the liver, carnitine, lipase, are as real for you as they are for me. We may be very different in environments in our genes and traits, some are more insulin resistant, for example, but we cannot be too different in our most fundamental metabolic chemistry. The chemistry which drives fat synthesis and break-up.\n\nObservations:\n\nLike most people with time and stress I've been gaining more and more weight. I peaked in 2013 at 210lbs, over 60 lbs higher than my 150 lbs steady-state weight of my twenties. North America is an area where obesity is an epidemic. Our western typical lifestyle is IMHO the root cause (Constant TV ads; Fast food is highly available, very cheap compared to most alternatives, most food we buy and eat is heavily processed). \"No Fat\" and \"Low Fat\" labels are everywhere on supermarket shelves. Many foods are enriched and sweetened with high-fructose corn-syrup. I realized I need to think for myself. Ignore most \"experts\" advice. Question widely accepted ideas like the FDA \"food pyramid\". Start listening to my own body, my own logic and data that I can collect myself and trust. Once I did, the results followed.\nWhat didn't work\n\nI tried several times to change my diet. After reading one of Atkins' books, I realized, checked, and accepted the fact that excess carbs are a major factor in gaining weight. But that realization alone has not led to success. My will power, apparently, was insufficient. I would reduce my carb consumption, lose a few pounds (typically ~5 pounds), and then break-down, go back to consuming excess carbs, and gain all these pounds back, and then some. My longest diet stretch lasted just a few months. It was obvious that something was missing in my method. I just had to find it. I could increase my physical activity, say start training for a mini-marathon, but that's not something I felt comfortable with. I realized early on that I need to adopt a lifestyle that not just reduces carbs, or add exercise, but is also sustainable and even enjoyable so it can turn into a painless routine. Something that: I could do for years. Never feel the urge to break habits. Is not hard, or unpleasant for to do.\n\nInsights\n\nEarly in the process I figured I could use machine learning to identify the factors that made me gain or lose weight. I used a simple method: every morning I would weigh myself, and record both the new weights and whatever I did in the past ~24 hours, not just the food I ate, but also whether I exercised, slept too little or too much, etc. The file I kept was fairly simple. A CSV with 3 columns:\n\nFor the data pictures and graphics please goto\nhttps://github.com/jean-francoisgiraud/LCHF-HowToLoseAndControlWeight\n\nCredits and Acknowledgements: \nThis study (version controlled in github) is a fork from the github of arielf/weight-loss (I edited his original work to fit and add my data observations and experiences). \nBSD 2-Clause License (https://github.com/jean-francoisgiraud/LCHF-HowToLoseAndControlWeight/blob/master/Licence.md)",
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      "title": "Signal to Noise (SN) ratio vs time (T) in cryptocurrencies and stocks:",
      "body": "Signal to Noise (SN) ratio vs time (T) in cryptocurrencies and stocks: \n\nThe longer period the data is from the better signal to noise ratio.  \n\nFor example: Stock market and in cryptocurrencies (personal observations and approximations). \nFor T=1 year, SN= 1/1. \nFor T=1 day, SN= 0.05/0.95. \nFor T=1 hour, SN= 0.005/0.995. \n\n- Daily or hourly 'news' are at best irrelevant at worst misleading more than 95% of the time (2 sigmas (standard deviation)). \n- Quick successions of bad news in a very short period could be the result of  indirect and involuntary actions and decisions from interconnected transnational organizations (banks media governments) sharing and acting in their self-interests. \n- These are just my observations from publicly available data (not financial advice).",
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      "body": "@@ -780,18 +780,16 @@\n  data.%0A%0A\n-.%0A\n IF the f\n@@ -1811,18 +1811,16 @@\n d for%5D%0A%0A\n-. \n IF the s\n@@ -1963,18 +1963,17 @@\n e made %0A\n-. \n+%0A\n This 'un\n@@ -2438,18 +2438,17 @@\n ossible%0A\n-. \n+%0A\n Only tak\n@@ -2657,18 +2657,17 @@\n gement.%0A\n-. \n+%0A\n Test the\n@@ -2887,17 +2887,562 @@\n nction%5D%0A\n-.\n+%0ASignal to Noise (SN) ratio vs time (T) in cryptocurrencies and stocks: %0AThe longer period the data is from the better signal to noise ratio.  %0AFor example: Stock market and in cryptocurrencies (personal observations and approximations). %0AFor T=1 year, SN= 1/1. %0AFor T=1 day, SN= 0.05/0.95. %0AFor T=1 hour, SN= 0.005/0.995. %0A- Daily or hourly 'news' are at best irrelevant at worst misleading more than 95%25 of the time (2 sigmas (standard deviation)).%0A- These are just my observations from publicly available data (not financial advice)%0A%0AREF (1): \n %0APredict\n@@ -4833,333 +4833,23 @@\n s. %0A\n-.%0ASignal to Noise ratio %5BSN%5D vs time %5BT%5D: The longer period the data is from the better signal to noise ratio.  Stock market observations. For T=1 year, SN= 1/1. For T=1 day, SN= 0.05/0.95. For T=1 hour, SN= 0.005/0.995. Daily or hourly 'news' are at best irrelevant at worst misleading more than 95%25 of the time.%0A\n %0AREF\n+(1) \n . SEH \n-s\n+S\n tati\n@@ -4854,17 +4854,17 @@\n tistics \n-e\n+E\n ngineeri\n@@ -4866,17 +4866,17 @@\n neering \n-h\n+H\n andbook%0A\n",
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      "body": "@@ -1,44 +1,120 @@\n-4 Plot\n+Predictive Analysi\n s \n+(\n EDA\n- data Predictive Analysis%0A%0A. \n+) using 4 plots tests%0A%0Ahttps://github.com/jean-francoisgiraud/Probabilistic-Predictability%0A%0A\n Obje\n@@ -241,16 +241,116 @@\n dence.%0A%0A\n+Uses: STEM, quality management, decision making, finances, economy, crypto-currencies investments.%0A%0A\n It uses \n@@ -570,10 +570,11 @@\n oals\n-.%5D\n+).%0A\n %0AThe\n",
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      "title": "EDA  Data Predictive Analysis",
      "body": "4 Plots EDA data Predictive Analysis\n\n. Objective: This method can be used to determine if data can be used for predicting or concluding and to what degree of confidence.\n\nIt uses data statistics instead of heuristics (heuristic = an approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals.]\nThe Exploratory Data Analysis approach does not impose deterministic or probabilistic models on the data. On the contrary, the EDA approach allows the data to suggest admissible models that best fit the data.\n\n.\nIF the four assumptions are true (1) random sampling from (2) a fixed location [mean] with (3) a fixed distribution [standard deviation] and (4) with a fixed variation\nTHEN the data is parametric [it has a known distribution] AND\nTHEN probabilistic predictability is achieved, the process is in statistical control, repeatable and can be modeled [Yi=C+Ei=average+error] to make scientifically/legally valid predictions and conclusions [based on probability], for example : data will be Y +/- error 19 out of 20 times.  Control limits can be established and outliers determined/rejected, otherwise all data is significant, non conforming results cannot be rejected arbitrarly, they must be rejected on the basis of data in a statistically controlled process.\nELSE the process is unpredictable, out of control, drifting and no conclusions-judgements [past] or predictions [future] can be made, repeating the tests will yield different and unrelated results [there could be other unknown and unknownable variables not accounted for]\n\n. IF the sample is not randomly selected THEN it is biased and not representative of the population it claims to represent AND not decisions can be made \n. This 'unpredictable area-domain' is where statistics are invalid, this is the quadrant where statistics are misleading [create a false sense of security] and Taleb's 'black swan' or 'turkey in november' area where anything can happen and the dramatic and unexpected happens (the majority of human experiences and language (politics values) is undebatable unpredictable)\n.. Unknown or changing distribution of a complex process make accurate and exact predictions impossible\n. Only take direct action on the process or operator for special causes of variation [it could be a meaningful signal]. To reduce variation due to common causes [noise] actions must be taken on the system by management.\n. Test the assumptions with 4plots [run sequence, histogram, lag plot, normal probability plots], if true then develop a model for the system, the objective is to characterize and model the function [regression, forecast function]\n.\nPredictability is an all-important goal in science and engineering. If the four underlying assumptions hold, then we have achieved probabilistic predictability--the ability to make probability statements not only about the process in the past, but also about the process in the future. In short, such processes are said to be \"in statistical control\".\nIf the four assumptions are valid, then the process is amenable to the generation of valid scientific and engineering conclusions. If the four assumptions are not valid, then the process is drifting (with respect to location, variation, or distribution), unpredictable, and out of control. A simple characterization of such processes by a location estimate, a variation estimate, or a distribution estimate inevitably leads to engineering conclusions that are not valid, are not supportable (scientifically or legally), and which are not repeatable in the laboratory.\nBecause the validity of the final scientific/engineering conclusions is inextricably linked to the validity of the underlying univariate assumptions, it naturally follows that there is a real necessity that each and every one of the above four assumptions be routinely tested.\nExtremes data do not necessarily mean that they are due to a special cause [especially if the process is not in statistical control]. They can still be part of the normal variation of the process. \n.\nSignal to Noise ratio [SN] vs time [T]: The longer period the data is from the better signal to noise ratio.  Stock market observations. For T=1 year, SN= 1/1. For T=1 day, SN= 0.05/0.95. For T=1 hour, SN= 0.005/0.995. Daily or hourly 'news' are at best irrelevant at worst misleading more than 95% of the time.\n\nREF. SEH statistics engineering handbook\nhttps://www.itl.nist.gov/div898/handbook/",
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      "title": "BRIFFAULT’S LAW",
      "body": "@@ -761,15 +761,8 @@\n not \n-bloody \n like\n",
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      "title": "BRIFFAULT’S LAW",
      "body": "BRIFFAULT’S LAW\nThe female, not the male, determines all the conditions of the animal family. Where the female can derive no benefit from association with the male, no such association takes place.\nThere are a few corollaries:\n1- Past benefit provided by the male does not provide for continued or future association.\n2- Any agreement where the male provides a current benefit in return for a promise of future association is null and void as soon as the male has provided the benefit (see  1)\n- A promise of future benefit has limited influence on current/future association, with the influence inversely proportional to the length of time until the benefit will be given and directly proportionate to the degree to which the female trusts the male (which is not bloody likely).",
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      "title": "Simple, free method for improving data security, privacy, encryption.",
      "body": "Simple, free method for improving data security, privacy, encryption.\n\nSensitive data such as NDA customer data must be protected, secured, encrypted. These instructions specify free, open source, simple data security and encryption methods. Most computers and all of their users unsecured or unencrypted data is accessible by anyone with physical access to the computer and with a 'Live CD' or a bootable linux disk or drive. Hackers may also access networked computers if the system's security has been compromised, the encryption methods specified here will also protect data from such hackers. \n\nPROCESS: Access to computer systems must be protected with accounts requiring a login and a strong 12 characters password including numbers, symbols, capital letters and lower-case letters. Sensitive files, data and metadata [such as filenames, extension, dates] must be encrypted, the simplest method is to add the files, data, metadata to a .7z file which compress and encrypts the files' content-data and the files' metadata. \n\nInstall 7-zip [it is free, open source, auditable]. Archive, encrypt the data as follows: \n\nIn Linux in command line mode: 7z a -p -mhe=on Directory.7z /path/to/directory\n\nIn Windows GUI mode:  \n\n1) start menu, programs find the 7-Zip folder, click on 7-Zip File Manager. \n2) go to the address bar, type in or navigate to the directory.\n3) select the files requiring compression and encryption, click on the green plus sign in the upper left. \n4) name the compressed file.\n5) choose the location of the archive file.\n6) password protect the archive file created by 7-Zip, choose password in the text box beneath “Encryption.” \n7) to encrypt the metadata as well (If you do not want people to see the names of the files in the archive) before entering the password check off the check box “Encrypt file names.” click OK. \nThe new archive file will be created in the chosen directory. users double clicking on the file, will be prompted for the password. \n\n8) do not email encrypted files with the password in the title or body of the email",
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      "permlink": "do-you-know-how-a-supplier-s-declaration-of-conformity-can-help-your-business",
      "title": "Do you know how a supplier’s declaration of conformity can help your business?",
      "body": "Do you know how a supplier’s declaration of conformity can help your business?\n\nOrganisations do not have to be accredited to benefit from Quality standards such as ISO 9001. A supplier’s declaration of conformity is a first-party and self-declaration of conformity without much of the overhead required by formal accreditations.\n\nSome of the conditions are: Services are in a form that will not be confused with any certification (third party conformity assessment) mark, and are traceable. There are procedures in place to re-evaluate the validity of the declaration of conformity when/if there are changes: 1- that affect the object’s design or specification (for example the changes to the actual product, management system etc); 2- to the specified requirements (including standards) that relate to the object of this declaration; 3- in ownership or management; 4- there is any relevant information which indicates the object no longer fulfills the specified requirements.\n\nHere is our supplier’s declaration of conformity to ISO 9001 and AS9100. https://sites.google.com/site/jfgiraudeng/supplierdeclarationofconformity\n\nreferences:\n- http://www.iso.org/iso/pub100304.pdf\n“Supplier’s declaration of conformity”: A declaration by your supplier itself affirming that its QMS meets ISO 9001 requirements, usually supported by legally binding signatures. This declaration can be based on your supplier’s internal audit system, or on second-party or third-party audits\n- ISO/IEC 17050",
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      "parent_permlink": "electronic",
      "author": "jfg",
      "permlink": "why-electronic-rust-proofing-in-cars-is-a-scam",
      "title": "Why electronic rust proofing in cars is a scam",
      "body": "Why electronic rust proofing in cars is a scam\n\nCathodic Protection [CP] or electronic corrosion protection is very useful to prevent corrosion in boats and bridges but CP is useless in cars. For CP to work a complete electrical circuit bringing the electrons back to the cathode is required. In a bridge, the wet soil completes the circuit. In a car however a complete circuit on all the metal parts is impossible and decreases with time as dirt and corrosion accumulates. Rust occurs at the interfaces between wet and dry metal, for CP to work it would need to be between the thousands of wet and dry metal interfaces, this is not feasible or economical.\nReport this",
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      "permlink": "re-jfg-best-use-of-old-computer-print-cryptocurrency-securely-20180407t220325394z",
      "title": "",
      "body": "Great post! I Just upvoted you.\n-\nCheck my twitch stream for some Chill and relaxing music https://www.twitch.tv/billybonus",
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      "author": "jfg",
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      "title": "Best use of old computer. Print cryptocurrency securely .",
      "body": "Best use of old computer. Print cryptocurrency securely (PC always offline). Clean OS install from DVD. Install a cryptocurrency wallet generator from a USB. Print your digital wallet and keep your money reserve offline unhackable (but if one who can see it one can steal it).",
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      "body": "Less is more? when?\n\nLess is more, but only in well organized systems and for specific purposes. For example in an engine less cylinders is more fuel efficient because there is less friction but at the expense of power and torque. I love my V2 cruiser.",
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      "author": "jfg",
      "permlink": "cryptocurrencies-bitcoin-vs-version-control-git",
      "title": "CryptoCurrencies (bitcoin ) vs Version Control (Git)",
      "body": "CryptoCurrencies (bitcoin ) vs Version Control (Git)\n- Bitcoin= distributed storage, decentralized authority blockchain.\n- Git= distributed storage, centralized authority blockchain.\nNotes: \nDecentralized authority blockchain requires a currency.  \nA centralized authority blockchain is only a distributed ledger.",
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      "title": "Blockchain decentralises control (of resources)",
      "body": "Blockchain decentralises control (of resources) shifting society from a pyramid with a limited room at the top which controls the bottom to a web with more access to opportunities and more consensus on what is valuable and how to best manage operations.  Reference: ted talk by Galia Benartzi.",
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      "title": "Software is eating the world",
      "body": "Software is eating the world, the largest taxi company owns no cars (uber) the largest accommodation provider owns no hotels (airbnb) the largest media company creates no content (FB) the largest e-commerce company has no inventory (alibaba) and a $140 billion currency has no banks branches CEO and customer services (bitcoin).",
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      "permlink": "re-supercrypto1-4th-dimension-bitcoin-manipulation-cartel-price-suppression-is-the-goal-20180407t211727588z",
      "title": "",
      "body": "Could it be that the Cartel is not colluding directly and intentionally but instead is acting via indirect interlocking ownership and interests? \nIf so then the Cartel may not be the result of a conspiracy to rule the world. Similar structures exist also in nature, think for example of how wolves, lions and killer whales work together to acquire preys territories or resources.",
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