#] #] ********************* #] ""$d_webRawe"'Pandemics, health, and the Sun/0_Pandemics, Kp, sunspot notes.txt' www.BillHowell.ca 21May2020 initial #************ # Table of Contents, generated with : # $ grep "^#] " "$d_webRawe"'Pandemics, health, and the Sun/0_Pandemics, Kp, sunspot notes.txt' | sed 's/^#\]/ /' # ********************* ""$d_webRawe"'Pandemics, health, and the Sun/0_Pandemics, Kp, sunspot notes.txt' 31Dec2021 Kyrylenko - Most of Vaccinated Die Because of Vax-induced Autoimmune Attacks on Their Own Organs 19Jun2021 CDC Covid-19 Reported Adverse Events 09Mar2021 covid "virus versus policy" deaths - prompted by Sundowners' executive decision on allowing coffee etc 25Jan2021 India’s ‘miraculous’ ivermectin COVID treatment is only $3 per person 23Jan2021 CTV webSite - finally has world comparisons, CBC has shit 22Dec2020 World covid-19 summary by country 20Dec2020 emto Sarah - covid links 09Jul2020 OK - I have accumulated results in "1968-2018 suicides by date and sex.txt" 08Jul2020 1984 CDC-NCHS-NVSS guide.pdf - is the same format used as 1979 07Jul2020 view line codings across different files 07Jul2020 US CDC-NCHS mortality multiple cause file downloads using QNial 06Jul2020 Suicides 28Jun2020 find "/home/bill/PROJECTS/" -type f -name "*Prechter*" 27Jun2020 Web-page [updates, postings] 17Jun2020 Howell Web-page [updates, postings] 11Jun2020 Sacha Dobler 2018 "Solar History: The Connection of Solar Activity, War, Peace and the Human Mind in the 2nd Millennium" 29May2020 graph of flu versus pneumonia 28May2020 [1976-1997, 1997-2015] influenza data 27May2020 Influenza, sunspots, Kp index, zero Kp.jpg 27May2020 upgrade references on flu [data, chart] 26May2020 USA flu deaths, Peter Doshi paper 25May2020 US annual flu cases 24May2020 US annual flu cases 23May2020 Historical pandemics (all) 22May2020 Geomagnetic field strength 22May2020 Mar2018 overlap of NOAA & Potsdam 21May2020 zero-Kp days - links 08********08 #] ??Jan2022 08********08 #] ??Jan2022 08********08 #] ??Jan2022 08********08 #] ??Jan2022 08********08 #] ??Jan2022 08********08 #] ??Jan2022 08********08 #] ??Jan2022 08********08 #] 03Jan2022 txtfr Steve https://www.canadiancovidcarealliance.org /CdnCovidCareAlliance REV16Dec2021 Pfizer COVID-19 inoculations more harm than good.pdf US Senator Ron Johnson - covid testimonials ?Briand? - testomonial 04Jan2022 Posted my webPage : http://www.billhowell.ca/Pandemics,%20health,%20and%20the%20Sun/corona%20virus/Moderna%20vaccine%20-%20Howells%20personal%20health%20problems.html 08********08 #] 31Dec2021 Kyrylenko - Most of Vaccinated Die Because of Vax-induced Autoimmune Attacks on Their Own Organs https://thenewamerican.com/study-most-of-vaccinated-die-because-of-vax-induced-autoimmune-attacks-on-their-own-organs/ Study: Most of Vaccinated Die Because of Vax-induced Autoimmune Attacks on Their Own Organs by Veronika Kyrylenko December 29, 2021 A recently published study suggests that nearly every COVID vaccine recipient who died within seven days to six months after inoculation likely died because of vaccine-induced autoimmune damage. A paper entitled “On COVID vaccines: why they cannot work, and irrefutable evidence of their causative role in deaths after vaccination” was published by Sucharit Bhakdi, M.D. and Arne Burkhardt, M.D., both Germany-based and widely published scientists in their fields. The findings were presented during an interdisciplinary symposium on COVID shots’ safety and efficacy on December 10, and if they received the attention and regard they deserve from health authorities, the vaccination campaign would be arguably stopped today. https://doctors4covidethics.org/wp-content/uploads/2021/12/end-covax.pdf As shown in the study, 14 of the 15 vaccinated patients who died had autoimmune damage in different organs, i.e., the patients’ immune systems were attacking their own organs. The doctors noted that prior to death, only four of the 15 patients had been treated in the ICU for more than two days, while most of the patients were never hospitalized and either died at home, on the street, at work, in the car, or in home-care facilities. That fact implies that therapeutic intervention was “unlikely to have significantly influenced the post-mortem findings,” per the paper. Coroners did not link the deaths to COVID vaccinations, and in most cases, “[ar]rhythmogenic heart failure” was postulated as the cause of death. Why would one’s immune system go wild and attack something it is designed to protect? The deadly immune response happens primarily because the immune system sees the cells that are producing the SARS-CoV-2 spike protein as a threat and tries to destroy them, argue the scientists: The vaccines cause cells deep inside our body to express the viral spike protein, which they were never meant to do by nature. Any cell which expresses this foreign antigen will come under attack by the immune system, which will involve both IgG antibodies [the most abundant type of antibody found in all body fluids] and cytotoxic T-lymphocytes [which protect the body against cancerous cells and cells that have become infected by pathogens]. That may occur in any organ. The autopsies of the deceased aged 28-95 showed that in 14 out of 15 cases the heart was attacked. Such self-damage was also seen in the lungs (13 cases), the liver (two cases), the thyroid gland (Hashimoto’s thyroiditis, two cases), the salivary glands (Sjögren’s Syndrome, two cases) and the brain (two cases). At the same time, there were common pathologies in “all affected tissues of all cases,” including inflammation and death of small blood vessels due to the abundance of killer T-lymphocytes in both vessels and the tissues surrounding them. The evidence of the “immunological self-attack is without precedent,” wrote the doctors, continuing, “Because vaccination was the single common denominator between all cases, there can be no doubt that it was the trigger of self-destruction in these deceased individuals.” The likelihood of people suffering such adverse effects will only increase with the number of additional booster doses taken, conclude the authors. In a subsequent video, Dr. Bhakdi underlined that four out of 15 deceased were only vaccinated once, and yet died. At the same time, with every booster taken, the immune system “gets more aggressive,” while the vessel tissues become “leaky” due to the previous attacks. And this is how the viral mRNA gets into the organs. https://www.bitchute.com/video/fHIT55iM4Zv9/ The doctor said, “Your heart muscle, and your liver and your lungs begin to produce these damn [spike] proteins, [and then] your killer lymphocytes go there … and destroy your heart, your lungs, your liver,” Bhakdi lamented. But those organs are not the only potential targets of the viral mRNA that the vaccines “teach” human bodies to make. Since the vaccines get into the lymph nodes that produce the lymphocytes, or the white blood cells, those cells, in turn, can be “taught” to make a spike protein, too. That, in turn, makes them a target of the autoimmune attack, which undermines the immune system’s ability to keep in check all potentially deadly viruses and bacteria that are always present in the human body. Among them, for example, is the tuberculosis bacteria, which will likely be on the rise all around Asia, India, and Africa, according to Dr. Bhakdi. He added that the practitioners are already seeing an uptick of cancers and tumors in their vaccinated patients. That is also explained by the undermined ability of the immune system to suppress the pathological mutations in cells, and was previously confirmed by Idaho-based pathologist Dr. Ryan Cole. Many of the non-establishment scientists agree with that conclusion. “Dosing of COVID-19 vaccines is worrisome for accumulation of spike protein in the human body,” warned Dr. Peter McCullough. “With repeated doses of the COVID-19 vaccines, the spike protein will progressively accumulate in the brain, heart and other vital organs exceeding the rate of clearance. The spike protein is well known to cause disease, such as myocarditis and neurologic damage as well as injuring blood vessels and promoting blood clotting,” he added. “Rechallenging a sensitized immune system with the same pathogen over and over again could lead to an exponential increase in vaccine injuries with each additional jab,” agreed Dr. Brian Hooker. Bhakdi and Burkhardt are not the first doctors who used autopsies of vaccinated people to study the effects of the COVID shots. As The New American reported back in August, a world-renowned German pathologist, Peter Schirmacher, the director of the Pathological Institute of the University of Heidelberg, found that 30 to 40 percent of people who died within two weeks after receiving a COVID shot and whom he performed an autopsy on died from the vaccination. Schirmacher called on the government to focus on more detailed autopsies of people who die within close proximity of their COVID vaccination. Not surprisingly, his plea has fallen on deaf ears. More and more countries, including the United States, are becoming increasingly coercive in requiring their populations to vaccinate against COVID, and take a third dose as well. Some of nations, such as Israel and Germany, are rolling out a fourth dose, and more are slashing the recommended interval between the initial inoculation and boosters. Sucharit Bhakdi, Arne Burkhardt 10Dec2021 "On COVID vaccines: why they cannot work, and irrefutable evidence of their causative role in deaths after vaccination" https://doctors4covidethics.org/wp-content/uploads/2021/12/end-covax.pdf Bhakdi, Burkhardt 10Dec2021 On COVID vaccines- why they cannot work, and irrefutable evidence of their causative role in deaths after vaccination.pdf https:// 08********08 #] 19Jun2021 CDC Covid-19 Reported Adverse Events https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html Covid-19 Reported Adverse Events Adverse events described on this page have been reported to the Vaccine Adverse Event Reporting System (VAERS) https://vaers.hhs.gov/ Reports of death after COVID-19 vaccination are rare. More than 310 million doses of COVID-19 vaccines were administered in the United States from December 14, 2020, through June 14, 2021. During this time, VAERS received 5,343 reports of death (0.0017%) among people who received a COVID-19 vaccine. FDA requires healthcare providers to report any death after COVID-19 vaccination to VAERS, even if it’s unclear whether the vaccine was the cause. A review of available clinical information, including death certificates, autopsy, and medical records, has not established a causal link to COVID-19 vaccines. However, recent reports indicate a plausible causal relationship between the J&J/Janssen COVID-19 Vaccine and TTS, a rare and serious adverse event—blood clots with low platelets—which has caused deaths. USA deaths vaccines : 5343 deaths/ 0.5 yr December 14, 2020, through June 14, 2021 - 5343/300M = 34 deaths/Mpopulation/year = 0.0017% * 2 half-yr/yr * 10,000 millions / % double checks : vaccines : qnial> 5343 / 3e8 / 0.5 = 3.562e-05 deaths/Mpop/yr * 10000 millionths/% = 0.12 %pop deaths/yr covid-19 : qnial> 1815 / 1.5 = 1210 deaths/Mpop/yr qnial> 600934 / 3e8 / 1.5 = 0.00133541 deaths/Mpop/yr * 10000 millionths/% = 13.4 %pop deaths/yr Mpop = million population %pop = percent of total population (actually vaccines are reported per vaccinated, but that's within a factor of two) It looks like vaccine deaths are ~1% of virus deaths, BUT : most vaccine deaths are likely reported as corona experts feel the Adverse Effects Reporting System under-reports by a factor of 10 to 100 as shown by female Cn medical researcher, vaccine deaths have been on a logistic curve since Mar2021 08********08 #] 09Mar2021 covid "virus versus policy" deaths - prompted by Sundowners' executive decision on allowing coffee etc 210302 FAIR Health study - the Impact of COVID-19 on Pediatric Mental Health.pdf A sst private healthcar claims https://s3.amazonaws.com/media2.fairhealth.org/whitepaper/asset/The%20Impact%20of%20COVID-19%20on%20Pediatric%20Mental%20Health%20-%20A%20Study%20of%20Private%20Healthcare%20Claims%20-%20A%20FAIR%20Health%20White%20Paper.pdf 210302 FAIR Health study - percent change 2019-2020 in emergency room claim lines related to major depressive disorder and generalized anxiety disorder, age group 13-18 years.png 210302 FAIR Health study - percent change 2019-2020 in overdose claim lines and substance use disorder claim lines, age group 13-18 years.png 210302 FAIR Health study - percent change 2019-2020 reasons for emergency room visits (including top five and mental health conditions), age group 19-22 years 210302 FAIR Health study - percent change 2019-2020 in emergency room claim lines related to major depressive disorder and generalized anxiety disorder, age group 13-18 years 210302 FAIR Health study - percent change 2019-2020 in emergency room claim lines for top three mental health conditions, age group 19-22 years Sorry for not shutting up, but Terry Armstrong raised a key point that I completely missed : "... My opinion – the coffee is needed for the mental health of our seniors. ..." Keep in mind : covid kills the dead (yeah - I know I'm a prick for saying that, just to cause trouble) suicide kills the young, especially entering family-formation years, especially women Don't look now, but we may already have blood on our hands? There is a [suspicious, ?dishonest?] vacuum of information about covid policy-related deaths versus deaths caused by the virus (the latter minus the dishonest attributions of deaths to corona virus, like [pneumonia, cancer, car accidents, gun deaths, etc] perhaps not as bad as it sounds?). See the section "Covid policy-driven suicides : news items and Howell blog comments from the Spring of 2020" below my signature block on this issue, which I haven't followed since. With strange timing related to our current email exchanges (you guys are weird, right?), a week ago, 02Mar2021, I received Dobler's book "Solar Behaviour", then just a few days later, last Friday 05Mar2021, I read a Sacha Doble post about a study showing a DOUBLING of suicides in some regions of US states (see the link in the section "Children die from Covid Suicide, not the Virus: " below my signature block). It is very strange, somewhat incompetent that the study's article does NOT provide the numbers of suicide, just the percent jump (this may be a result of privacy laws, which have become a major impediment to truth), and that it does NOT compare covid "virus versus policy-driven" deaths. Sacha Dobler is not a professional, nor is he an expert in epidemiology or policy or anything related to this EXCEPT concepts at which essentiall the experts fail. I do NOT agree with everything he says, nor perhaps even most of what he says. As I mentioned above, I have two books of his (still reading the second), and I've read some of his exchanges with others. What I can say is that, right or wrong, he is comfortably beyond the one-in-ten-thousand "strong thinker" level (which includes less than one in 10,000 university professors in a given field of expertise). He may be a one-in-a-million [creative, revolutionary, breakthrough] thinker, but that is not yet shown. My guess that there isn't a single university professor in Canada, nor amateur, that can kiss his ass on this topic if he was to take the timme to look at it in detail. It's not about decades of rote memorization, it's about thinking. Even still, I take everything with a grain of salt. Comments on the lack of honest [suicide, health] statistics and studies of covid-19 "public policy versus corona virus disease" deaths While there is no end of yap in the media of [protecting, helping] people with [emotional, mental] health issues arising from the covid situation, there is essentially honesty regarding the [statistics, models, policy impacts]. Ergo, the yap can certainly be looked at as yet another massive marketing campaign by health-care professionals and government policy [experts, consultants] who will make a killing on [vast, extra] public money to do their work. I STILL don't have basic statistics on suicide, in spite of searching last spring, but I suspect it is available if you do enormous amount of digging, but not from [professionals, government policy, academics]. USA CDC is a great institution that somehow still does great work beyond the mandatory politics, and some data is likely there now to help. I have seen basically nothing in Canada, other than some [private, amateur] stuff, but nothing like the USA. +-----+ https://www.marketwatch.com/story/the-same-number-of-people-could-die-from-deaths-of-despair-as-have-already-died-in-the-us-from-coronavirus-new-study-finds-2020-05-08?mod=newsviewer_click The same number of people could die from ‘deaths of despair’ as have already died in the U.S. from coronavirus, new study finds Published: May 9, 2020 at 8:14 p.m. ET By Quentin Fottrell ‘More Americans could lose their lives to deaths of despair, deaths due to drug, alcohol, and suicide, if we do not do something immediately’ In addition to more than 75,000 deaths in the U.S. from COVID-19, the growing epidemic of "deaths of despair" in the U.S. is also increasing due to the pandemic — and another 75,000 more people will likely die from drug or alcohol misuse and suicide, according to new research released by Well Being Trust and the Robert Graham Center for Policy Studies in Family Medicine and Primary Care. Projections of additional "deaths of despair" range from 27,644, assuming a quick economic recovery and the smallest impact from unemployment, to 154,037, assuming a slow recovery and the greatest impact from unemployment. "We can prevent these deaths by taking meaningful and comprehensive action as a nation," the researchers wrote in the "deaths of despair" report published Friday. 200509 MarketWatch, Well Being Trust - deaths of despair with unemployment increases.png 08&&&&&&&&08 Howell : I don't get it. The table from Well Being Trust lists increases in mortality per 1% increase in unemployment, whereas unemployment has shot up by far more than that (say 10-20%). The [1, 1.3, 1.6]% groupings represent what? - I assumptions that the 1% is the base case, the rest are for higher scenarios, but it's confusing. Recalling the figure that apparently has been taught in economics classes, for every 1% increase in unemployment, 40,000 Americans due, so the table is in line with that, approximately. To me, it seems to suggest that FAR MORE Americans will die from the recession than corona virus, even if you take the higher range of model estimates. For example, the 08May2020 https://covid19-projections.com/#view-projections model has a high range off 300k deaths due to corona virus by 04Aug2020 (~180k as best guess, ~120k low). Compare that to a naive wild guess of 10% increase of unemployment times a medium projection of 50k deaths per 1% increase of unemployment = 500k deaths? I don't have much confidence in any of the numbers, but perhaps these are the best that we have. +-----+ https://www.marketwatch.com/story/big-short-investor-who-made-a-killing-during-the-financial-crisis-the-economic-shutdown-is-worse-than-the-coronavirus-2020-04-07?mod=newsviewer_click ‘Big Short’ investor says the shutdown is worse than the coronavirus: ‘It bleeds deep anguish and suicide’ Published: April 7, 2020 at 4:35 p.m. ET By Shawn Langlois ... He offered more detail in his emails this week to Bloomberg News as to why he would immediately lift stay-at-home orders for everybody but high-risk groups. "I would let the virus circulate in the population that is not likely to get severe disease from it," he wrote. "This is the only path that comes close to balancing the needs of all groups. Vaccines are not coming anytime soon, so natural immunity is the only way out for now. Every day, every week in the current situation is ruining innumerable lives in a criminally unjust manner." Meanwhile, the COVID-19 tally keeps rising in the U.S., home to the most confirmed cases at almost 400,000, with 11,851 deaths, according to Johns Hopkins University. Globally, here are now 1.39 million cases and 79,091 deaths. Another 292,973 people have recovered. >> Awesome, tuys (Trump and him) make sense! 08&&&&&&&&08 Howell - It's great to see someone stand out and question the current orthodoxy. It will be interesting to see what % of COVID-19 serious cases are saved by "flattening the curve" (eg reducing peak (shock) demands on hospital resources to reduce triaging and effects on other patients). Will this just end up as an exceptionally bad flu season? https://www.cdc.gov/flu/about/burden/index.html Nabil Istafananus - The problem with this reasoning is you can't prove the counterfactual. It is absolutely clear, this virus left unabated and no vaccines is more than 10 times more deadly than the flu. After we open up the economy in 60 days, these same folks will say, see, this was only as bad as the flu and they won't believe that social distancing actually saved millions of lives. We can't prove it. I trust the infectious disease experts and the massive mobilization of our scientists for effective treatment will be enough to open things up gradually. Folks who are saying opening up the economy without a strong testing and proven treatments are short-term thinkers and simply protecting their porfolios. The stock market will come back. Take a deep breath and calm down folks. We're in this together and I trust that we will not be locked down forever. Howell - Nabil Istafananus - Thanks, and I agree with your comments. Believe me, I am not looking for "proofs", nor could I expect that. But I am hoping to see a range of estimates over time based on diverse approaches (what I call "multiple conflicting hypothesis") that are transparent and available (subject to privacy constraints etc, in the health area, of course). At the end of the day, lessons learned and comparisons to past pandemics are not just inevitable, but part of the process of improving (we hope). Others will not have our perspective, nor do we have theirs, which is normal. +-----+ https://www.marketwatch.com/story/how-do-you-choose-between-economic-deaths-of-despair-and-coronavirus-victims-economists-lawmakers-grapple-with-a-moral-conundrum-2020-03-26?mod=newsviewer_click George Loewenstein, professor of economics and psychology at Carnegie Mellon University, said it’s not as simple as making a choice between the human lives of Americans and the long-term health of the American economy. "I think it might be a false dichotomy because we don’t have a very good understanding of what the impact of a severe [economic] depression would be on human life," he said. "It will dramatically decrease the quality of human life, and it will certainly kill people as well." "We’ve already have unprecedented levels of deaths of despair, and, if we lose a generation as a result of the coronavirus pandemic, that’s going to have mortality consequences," Loewenstein added. "They’re just going to be more difficult to discern from the statistical victims. If you ignore the impact on quality of life — which is potentially an immense thing that should be taken into account — we don’t really understand what the impact of the economy on mortality." +-----+ https://www.quora.com/The-Big-Short-2015-movie-Is-it-true-what-Ben-Rickert-Brad-Pitts-character-said-that-40-000-people-die-when-unemployment-goes-up-by-1 The Big Short (2015 movie): Is it true what Ben Rickert (Brad Pitt's character) said that 40,000 people die when unemployment goes up by 1%? 02--02 Hlynur Hallgrímsson, Political Economist Answered February 23, 2016 Yes, pretty much. The actual number mentioned in introductory econ classes is 37,000 deaths. It's often credited to Gregory Mankiw and his textbook "Macroeconomics", but I can't find it in my book (the 7th edition), perhaps it wasn't in the actual book but only in the accompanying slides. Anyway, looking online it shows up in "The American Economy: What it is and what it isn't" by Thomas and Carson on page 300 under the subheading "The cost of unemployment". They cite their source as Bluestone, Harrison and Baker, "The Causes and Consequences of Economic Dislocation" from 1981. The information put forth for a 1 %-point increase is as follows: 37.000 deaths... of which: 20.000 heart attacks 920 suicides 650 homicides (the rest is undisclosed as far as I can see) Hope that helps. 02--02 John Ross, physician, scribbler Answered February 22, 2016 There is evidence that unemployment is bad for your health. According to one meta-analysis of 42 studies involving 20 million people, the risk of death increases 63% when you lose your job. Some of this risk is attributable to the negative health effects of stress and poverty, some of this is due to crappy health behaviors that are more common with poverty and unemployment (bad diet, smoking, booze, drugs). One obvious criticism is reverse causation: people who are already unhealthy and have poor health behaviors are probably more likely to lose their jobs than other employees. Here's a link to the meta-analysis: Losing Life and Livelihood: A Systematic Review and Meta-Analysis of Unemployment and All-Cause Mortality http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070776/ 08********08 #] 25Jan2021 India’s ‘miraculous’ ivermectin COVID treatment is only $3 per person https://principia-scientific.com/indias-miraculous-ivermectin-covid-treatment-is-only-3-per-person/?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+psintl+%28Principia+Scientific+Intl+-+Latest+News%29 India’s ‘miraculous’ ivermectin COVID treatment is only $3 per person Published on January 22, 2021 Written by Patrick Delaney ...ivermectin, a Nobel Prize–winning anti-parasitic agent, “basically obliterates transmission of this virus,” with “miraculous effectiveness.” Ivermectin has been the subject of dozens of studies and anecdotal success stories since it was found to reduce COVID-19 in a laboratory last June. “I’ve been treating COVID pretty much every single day since the onset,” Kory said. “When I say ‘miracle’ I do not use that term lightly…that is a scientific recommendation based on mountains of data that has emerged in the last three months.” in India, they began treating coronavirus patients early, including the use of hydroxychloroquine (HCQ) Last March, as debates raged in the U.S. over the merits of HCQ, following President Trump’s endorsement of the drug, India had already recommended it in its national guidelines affirming it “should be used as early in the disease course as possible…and should be avoided in patients with severe disease.” Following the June discovery of ivermectin’s efficacy in treating the virus, along with significant subsequent testing, the largest state in their nation, Uttar Pradesh (UP) (pop. 230 million), announced in August that it was replacing their HCQ protocol with ivermectin for the prevention and treatment of COVID-19. 08********08 #] 23Jan2021 CTV webSite - finally has world comparisons, CBC has shit https://www.ctvnews.ca/health/coronavirus/covid-19-curves-compare-canada-and-other-key-nations-1.4881500 when did this start? even now, still nowhere near as good as BillHowell.ca - eight months later!!!! does CBC have this yet? https://newsinteractives.cbc.ca/coronavirustracker/ >> NOTHING - no [per capita, country, multi-nation regions] comparisons CBC is pure shit!!! 08********08 #] 22Dec2020 World covid-19 summary by country https://www.worldometers.info/coronavirus/ see "$d_webRawe""Pandemics, health, and the Sun/corona virus/201222 worldometers.info World covid-19 summary by country.ods" /media/bill/SWAPPER/Website - raw/Pandemics, health, and the Sun/corona virus/201222 worldometers.info World covid-19 summary by country.ods 08********08 #] 20Dec2020 emto Sarah - covid links see my email to her How embarrassing. I went back to an old website that I used last spring to find Canadian data, www.worldometers.info. This referred to a ctv webSite : https://www.ctvnews.ca/health/coronavirus/tracking-every-case-of-covid-19-in-canada-1.4852102#quebec However, I still haven't found a link to a Health Canada site where I can download the actual data. I will only look for that when I find the time to do a general update (make several months from now, but it's not a priority for me. Already, the numbers question the whole basis of modern thinking, even though a number of "experts" were concerned about a covid resurgence during the flu season. Maybe we have to get back to long-standing historical perspectives by specific "strong thinkers" (mostly amateurs), like Peter Doshi of https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374803/ in USA (professional). https://www.worldometers.info/coronavirus/country/canada/ 201221 WorldOmeters.info Daily New Cases in Canada 3day avg.png 201221 WorldOmeters.info Daily New Deaths in Canada 3day avg.png 201221 WorldOmeters.info Outcome of Cases (Recovery or Death) in Canada 3day avg.png 211221 CTVnews.com Alberta 7-day avg [cases, deaths] per 100k.png 211221 CTVnews.com British Columbia 7-day avg [cases, deaths] per 100k.png 211221 CTVnews.com Canada 7-day avg [cases, deaths] per 100k.png 211221 CTVnews.com Ontario 7-day avg [cases, deaths] per 100k.png 211221 CTVnews.com Quebec 7-day avg [cases, deaths] per 100k.png These images have been saved to my webDirectory on corona virus : http://www.billhowell.ca/Pandemics,%20health,%20and%20the%20Sun/corona%20virus/ Are influenza deaths confounded with covid-19? Historally, pneumonia and influenza have always been confounded. I am not sure if influenza tests are like covid-19 now, making statistics more specific? If not, that should raise eyebrows... In the case of Alberta, re-imposition of stronger self-isolation started with strong guidance to self-isolate circa 24Nov?, then legally invoked the 2-person rule, and shut-down of small businesses and restaurants 08Dec. There is not much to suggest a strong effect of ck-downs, as what we are seing resembles the traditional influenza seasonal process. Even if it is working, it may be having no effect long-term other than avoidance hospital triaging, and some quite modest life savings there? https://www.bdplaw.com/publications/alberta-announces-updated-covid-19-restrictions/?utm_source=Mondaq&utm_medium=syndication&utm_campaign=LinkedIn-integration https://www.alberta.ca/covid-19-orders-and-legislation.aspx#toc-0 ******** #] 09Jul2020 OK - I have accumulated results in "1968-2018 suicides by date and sex.txt" OK - I have accumulated results in "1968-2018 suicides by date and sex.txt" BUT - I should have converted the [year, month, day] to a fractional year >> but from 2005 only the day-of-week is available! I can't get around that /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/USA monthly suicides 1968-2018 http://www.BillHowell.ca/Pandemics, health, and the Sun/suicide/USA monthly suicides 1968-2018.jpg http://www.BillHowell.ca/Pandemics,%20health,%20and%20the%20Sun/suicide/USA%20monthly%20suicides%201968-2018.jpg ******** #] 08Jul2020 1984 CDC-NCHS-NVSS guide.pdf - is the same format used as 1979 +-----+ 1984 guide : /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/1984 CDC-NCHS-NVSS guide.pdf - is the same format used as 1979? >> YES!! see "1_US CDC-NCHS data table formats.txt" ******** #] 07Jul2020 view line codings across different files OUCH!! - file formats are all different : might be same : 1968-2004, 2005-2018 ?? qnial> sampleData +-----+ Mort68 8000 11110529999000211052079912220390613 5858 001 00300130080030 80000007021017960020 1001 0 02001 07 9600 8000 22340019999000234068039922220610818 5656 001 00300130080030 80000006021014272020 1001 0 02001 04 2720 +-----+ Vs79mort 790 790 +-----+ MORT85.PUB 850 01 110100136301010019999136301180 010910111075412110 5 30188 299099942051155909 01001010015240 1 431 191004406802000111431 0 01 431 0 850 01 220100136301010649999136301035 010320111088432311 5 30188 299099938051155909 01001011271000 2 410 174003606801700311410 0214149061514 0 03 410 041490514 0 +-----+ VS97MC.USPUB 0 11019993630101999999913630103299112301 10111066391909 6 4010067 990999380 99999 199701999019991000 009 410 174003606801700111410 0 0003207 01 410 0 0 11010083630101008999913630101233212301 10232055371708 6 2340074 990999310 99999 199701015010150450 009 199109800220080110011119910 0003207 01 19910 +-----+ Mult98.pub 0 11010453630101045999913630112933101101 10111080422210 6 2010066 990999400 99999 199801089010893440 009 428918600410680180011142890 0002108 01 42890 0 11010453630101045023313630112933112301 10111071402009 6 2180065 990999450 37000 199801089010893440 009 496 223005802002400211496 021311 0 0002108 02 311 0496 0 +-----+ Mort99us.dat 0 11019993630101999999913630106399100101 10111038331306 2 4570116 990999 99999 199901999019991800 009 7 R570380001101363600111R570 01 R570 0 11019993630101999999923630100099906101 10111086432311 6 2010066 990999 99999 199901999019990000 009 7 N19 327001000683100111N19 01 N19 +-----+ Mort00us.dat 0 11010083630101008999913630101233212301 10232070402009 2 2010071 990999 99999 200001015010150450 009 7 C900132000410271500311I469 21C900 31I500 03 C900 I469 I500 0 11010083630101008999913630101233212301 10111067391909 2 2010067 990999 99999 200001015010150450 009 7 J81 278000890623700211R570 21J81 02 J81 R570 +-----+ Mort05uspb.dat 1 11 001 F1045 351507 1M2 2005U7UN C439098 028 15 0111C439 01 C439 01 11 100 6 1 13 001 M1061 381808 1D7 2005U7UN J439266 084 28 0111J439 01 J439 01 11 100 6 +-----+ MORT06.DUSMCPUB 1 10 001 F1084 422210 4W2 2006U UN I500230 067 22 0111I500 01 I500 01 11 100 6 1 06 001 F1093 442411 1W1 2006U UU I251215 063 21 0311I500 12J81 21I251 03 I251 I500 J81 01 11 100 6 +-----+ VS07MORT.DUSMCPUB 3 02 001 M1072 402009 1M2 2007U7UN C259088 025 07 0111C259 01 C259 01 11 100 6 1 12 001 M1035 331306 7M2 2007U2UN 99X74 429 125 40 0211T141 12X74 02 X74 T141 01 11 100 6 +-----+ Mort2018US.PubUse.txt 3 3101 F1046 351507 1D2 2018U7CN A419023 010 37 0311J189 21J869 31A419 03 A419 J189 J869 01 11 100 601 1 3101 M1028 311105 7S4 2018N1BN 9 V475392 114 38 0511S099 12V475 13T099 14T149 15S021 05 V475 S021 S099 T099 T149 03 23 100 803 ******** #] 07Jul2020 US CDC-NCHS mortality multiple cause file downloads using QNial # download stats qnial> processCDC_1968_to_78 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 21.9M 100 21.9M 0 0 245k 0 0:01:31 0:01:31 --:--:-- 383k download done : US CDC-NCHS mortality multiple cause file 1972.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1972.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort72 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 43.3M 100 43.3M 0 0 147k 0 0:05:00 0:05:00 --:--:-- 94877 download done : US CDC-NCHS mortality multiple cause file 1973.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1973.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT73.REVISED % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 43.3M 100 43.3M 0 0 197k 0 0:03:44 0:03:44 --:--:-- 164k download done : US CDC-NCHS mortality multiple cause file 1974.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1974.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort74 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 43.7M 100 43.7M 0 0 137k 0 0:05:25 0:05:25 --:--:-- 373k download done : US CDC-NCHS mortality multiple cause file 1975.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1975.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort75 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 42.1M 100 42.1M 0 0 246k 0 0:02:55 0:02:55 --:--:-- 389k download done : US CDC-NCHS mortality multiple cause file 1976.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1976.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort76 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 42.0M 100 42.0M 0 0 313k 0 0:02:17 0:02:17 --:--:-- 277k download done : US CDC-NCHS mortality multiple cause file 1977.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1977.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort77 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 40.9M 100 40.9M 0 0 193k 0 0:03:37 0:03:37 --:--:-- 554k download done : US CDC-NCHS mortality multiple cause file 1978.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1978.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort78 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 56.1M 100 56.1M 0 0 414k 0 0:02:18 0:02:18 --:--:-- 281k download done : US CDC-NCHS mortality multiple cause file 1979.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1979.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs79mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 55.8M 100 55.8M 0 0 354k 0 0:02:41 0:02:41 --:--:-- 526k download done : US CDC-NCHS mortality multiple cause file 1980.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1980.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs80mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 48.0M 100 48.0M 0 0 491k 0 0:01:40 0:01:40 --:--:-- 545k download done : US CDC-NCHS mortality multiple cause file 1981.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1981.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs81mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 49.0M 100 49.0M 0 0 334k 0 0:02:30 0:02:30 --:--:-- 476k download done : US CDC-NCHS mortality multiple cause file 1982.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1982.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs82mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 61.6M 100 61.6M 0 0 398k 0 0:02:38 0:02:38 --:--:-- 570k download done : US CDC-NCHS mortality multiple cause file 1983.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1983.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs83mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 65.4M 100 65.4M 0 0 408k 0 0:02:44 0:02:44 --:--:-- 508k download done : US CDC-NCHS mortality multiple cause file 1984.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1984.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs84mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 72.3M 100 72.3M 0 0 410k 0 0:03:00 0:03:00 --:--:-- 502k download done : US CDC-NCHS mortality multiple cause file 1985.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1985.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT85.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 73.2M 100 73.2M 0 0 460k 0 0:02:42 0:02:42 --:--:-- 365k download done : US CDC-NCHS mortality multiple cause file 1986.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1986.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT86.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 74.3M 100 74.3M 0 0 432k 0 0:02:55 0:02:55 --:--:-- 168k download done : US CDC-NCHS mortality multiple cause file 1987.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1987.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT87.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 73.1M 100 73.1M 0 0 430k 0 0:02:53 0:02:53 --:--:-- 555k download done : US CDC-NCHS mortality multiple cause file 1988.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1988.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Vs88mort % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 82.0M 100 82.0M 0 0 197k 0 0:07:04 0:07:04 --:--:-- 317k download done : US CDC-NCHS mortality multiple cause file 1989.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1989.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT89.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 81.3M 100 81.3M 0 0 218k 0 0:06:21 0:06:21 --:--:-- 120k download done : US CDC-NCHS mortality multiple cause file 1990.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1990.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT90.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 82.4M 100 82.4M 0 0 318k 0 0:04:25 0:04:25 --:--:-- 579k download done : US CDC-NCHS mortality multiple cause file 1991.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1991.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT91.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 76.4M 100 76.4M 0 0 408k 0 0:03:11 0:03:11 --:--:-- 294k download done : US CDC-NCHS mortality multiple cause file 1992.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1992.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT92.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 77.8M 100 77.8M 0 0 346k 0 0:03:49 0:03:49 --:--:-- 575k download done : US CDC-NCHS mortality multiple cause file 1993.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1993.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT93.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 78.9M 100 78.9M 0 0 319k 0 0:04:12 0:04:12 --:--:-- 571k download done : US CDC-NCHS mortality multiple cause file 1994.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1994.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT94.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 79.6M 100 79.6M 0 0 300k 0 0:04:31 0:04:31 --:--:-- 422k download done : US CDC-NCHS mortality multiple cause file 1995.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1995.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT95.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 79.6M 100 79.6M 0 0 339k 0 0:04:00 0:04:00 --:--:-- 513k download done : US CDC-NCHS mortality multiple cause file 1996.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1996.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT96.PUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 84.0M 100 84.0M 0 0 388k 0 0:03:41 0:03:41 --:--:-- 484k download done : US CDC-NCHS mortality multiple cause file 1997.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1997.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS97MC.USPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 77.7M 100 77.7M 0 0 254k 0 0:05:13 0:05:13 --:--:-- 372k^[[1;2B download done : US CDC-NCHS mortality multiple cause file 1998.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1998.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mult98.pub % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 83.9M 100 83.9M 0 0 282k 0 0:05:04 0:05:04 --:--:-- 320k download done : US CDC-NCHS mortality multiple cause file 1999.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 1999.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort99us.dat % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 78.4M 100 78.4M 0 0 298k 0 0:04:29 0:04:29 --:--:-- 544k download done : US CDC-NCHS mortality multiple cause file 2000.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2000.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort00us.dat % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 45 79.2M 45 35.9M 0 0 41968 0 0:33:00 0:14:59 0:18:01 0 curl: (56) Recv failure: Connection timed out download done : US CDC-NCHS mortality multiple cause file 2001.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2001.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive. unzip: cannot find zipfile directory in one of /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2001.zip or /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2001.zip.zip, and cannot find /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2001.zip.ZIP, period. % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 84.4M 100 84.4M 0 0 155k 0 0:09:15 0:09:15 --:--:-- 531k download done : US CDC-NCHS mortality multiple cause file 2002.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2002.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort02us.dat % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 24 85.2M 24 20.7M 0 0 31644 0 0:47:03 0:11:26 0:35:37 0 curl: (56) Recv failure: Connection timed out download done : US CDC-NCHS mortality multiple cause file 2003.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2003.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive. unzip: cannot find zipfile directory in one of /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2003.zip or /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2003.zip.zip, and cannot find /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2003.zip.ZIP, period. % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 84.1M 100 84.1M 0 0 192k 0 0:07:27 0:07:27 --:--:-- 426k download done : US CDC-NCHS mortality multiple cause file 2004.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2004.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort04us.dat % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 79.1M 100 79.1M 0 0 465k 0 0:02:54 0:02:54 --:--:-- 570k download done : US CDC-NCHS mortality multiple cause file 2005.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2005.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/Mort05uspb.dat % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 85.2M 100 85.2M 0 0 458k 0 0:03:10 0:03:10 --:--:-- 40506 download done : US CDC-NCHS mortality multiple cause file 2006.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2006.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/MORT06.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 85.4M 100 85.4M 0 0 325k 0 0:04:29 0:04:29 --:--:-- 374k download done : US CDC-NCHS mortality multiple cause file 2007.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2007.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS07MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 95 87.2M 95 83.4M 0 0 96089 0 0:15:52 0:15:10 0:00:42 0 curl: (56) Recv failure: Connection timed out download done : US CDC-NCHS mortality multiple cause file 2008.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2008.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive. unzip: cannot find zipfile directory in one of /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2008.zip or /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2008.zip.zip, and cannot find /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2008.zip.ZIP, period. % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 83 86.3M 83 72.0M 0 0 67031 0 0:22:30 0:18:46 0:03:44 0 curl: (56) Recv failure: Connection timed out download done : US CDC-NCHS mortality multiple cause file 2009.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2009.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive. unzip: cannot find zipfile directory in one of /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2009.zip or /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2009.zip.zip, and cannot find /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2009.zip.ZIP, period. % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 88.0M 100 88.0M 0 0 141k 0 0:10:38 0:10:38 --:--:-- 75455 download done : US CDC-NCHS mortality multiple cause file 2010.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2010.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS10MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 90.3M 100 90.3M 0 0 184k 0 0:08:22 0:08:22 --:--:-- 114k download done : US CDC-NCHS mortality multiple cause file 2011.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2011.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS11MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 91.7M 100 91.7M 0 0 138k 0 0:11:18 0:11:18 --:--:-- 240k download done : US CDC-NCHS mortality multiple cause file 2012.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2012.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS12MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 94.3M 100 94.3M 0 0 150k 0 0:10:40 0:10:40 --:--:-- 461k download done : US CDC-NCHS mortality multiple cause file 2013.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2013.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS13MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 83.6M 100 83.6M 0 0 330k 0 0:04:19 0:04:19 --:--:-- 519k download done : US CDC-NCHS mortality multiple cause file 2014.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2014.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS14MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 87.2M 100 87.2M 0 0 363k 0 0:04:05 0:04:05 --:--:-- 507k download done : US CDC-NCHS mortality multiple cause file 2015.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2015.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS15MORT.DUSMCPUB % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 102M 100 102M 0 0 259k 0 0:06:43 0:06:43 --:--:-- 342k download done : US CDC-NCHS mortality multiple cause file 2016.zip Archive: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/US CDC-NCHS mortality multiple cause file 2016.zip inflating: /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA CDC-NCHS/VS16MORT.DUSMCPUB ******** #] 06Jul2020 Suicides weekly - with CDC wonder, maybe even daily using day of week turn off export /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/CDC Wonder suicides month 1999-01 results.txt /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file 1968.REVISED.txt /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file users guide.pdf +-----+ https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm#Mortality_Multiple Mortality Multiple Cause Files 1968-1978 /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/USA NCHS/US CDC mortality multiple cause file 1968 https://www.cdc.gov/nchs/nvss/mortality_public_use_data.htm see page 22 for data layout in each line 31-32 month of death 33-34 day of month of death, 99=day of death not stated 35 sex (1=male, 2=female) 36 race (0-8 depending on race) 37 race (1=white, 2=non-white) 38 race (1=white, 2=black, 3=other) 39-41 age (mashed stuff) 42-43 age (simpler grouped for infants then per 10 years) 44-45 age (simpler grouped for infants then per 05 years) ... 60-63 underlying cause of death (See the “Eighth Revision International Classification of Diseases,” Volume 1, adapted for use in the United States. For accidents, poisonings and violence, the external cause of injury [E800-E999] is coded. The nature of injury (800-999) is not coded. These positions do NOT include the letter E for the external cause of injury. For those underlying causes that do not have a 4th digit, location 124 is blank (Hex 40). 64-68 281 cause recode A recode of the underlying cause into 281 groups for NCHS publications. See Appendix 4-2 for a complete list of recodes and the undell)’lng causes included. 69-71 69 cause recode A recode of the groups for NCHS code range [not m~lusi~’el und=ll>”in: cause into 69 publications See Appenclix I-3 for a complete llst of recode> and the underl?lng causes included. 01-810... Code range (not incluslve) suicide codes CDC Wonder : uses U03,X60-X84,Y87.0 CDC-NCHS Leading causes of death 1900-1998 : E950-E959 https://stackoverflow.com/questions/14462529/how-to-get-first-n-characters-in-unix-data-file $ cat "/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file 1968.REVISED.txt" | sed 's/\(.{30}\)\(.{4}\)\(.{26}\)\(.{4}\)/1968 \2 \4/' >"/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/USA CDC-NCHS/1968 suicides.txt" $ cat "/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file 1968.REVISED.txt" | sed 's/.{30}\(.{4}\).{26}\(.{4}\)/1968 \1 \2/' >"/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/USA CDC-NCHS/1968 suicides.txt" $ cat "/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file 1968.REVISED.txt" | sed 's/^\(.\)\{30\}\(.\)\{4\}\(.\)\{26\}\(.\)\{4\}\(.*\)/1968 \2 \4/' >"/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/USA CDC-NCHS/1968 suicides.txt" >> can't get sed to work $ cat "/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file 1968.REVISED.txt" | cut -b 31-34,60-63 >"/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/USA CDC-NCHS/1968 suicides.txt" >> not terribly useful I used QNial : qnial> loaddefs link d_QNial_mine 'readDataFile fixed cols.ndf' >> WORKED! for 1968 : 21,372 suicides from "/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/influenza/USA NCHS/US CDC mortality multiple cause file 1968.REVISED.txt" 21,372 lines in output file "/media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/USA CDC-NCHS/1968 suicides.txt" >> ALL suicide causes were present (950-959) >> However, day of month data was not input, so I only have the month +-----+ https://wonder.cdc.gov/ https://www.cdc.gov/nchs/nvss/mortality_tables.htm https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm https://www.cdc.gov/nchs/products/vsus/ta.htm See the criteria below or in "CDC Wonder suicides 1998-2018 request details, notes.txt" with notes >> Can't seem to get the data!? Just get : +-----+ Try : ICD-10 113 Cause List https://www.cdc.gov/nchs/data/dvs/lead1900_98.pdf /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/CDC-NCHS Leading Causes of Death, 1900-1998.pdf Actually, suicides are only reported in this document for : nyet 1900-1957, 1970 all [sexes, races, ages] only 1958-1969,1977,1980 male only, all [races, ages] 1971 Male & total, all [races, ages] 1991-1998 male & female, all [races, ages] 1972-1976,1978-1979,1981-1990, +-----+ https://www.nimh.nih.gov/health/statistics/suicide.shtml#part_154969 National Institute of Mental Health >> 2001-2017, but just use CDC Wonder +-----+ https://afsp.org/suicide-statistics/ American Foundation for Suicide prevention Suicide statistics /media/bill/SWAPPER/Projects - mini/Pandemics, Kp index, sunspots/suicide/AFPS suicide facts & figures 2009-2018 >> not useful +-----+ https://www.nimh.nih.gov/health/statistics/suicide.shtml >> not so useful... +-----+ CDC Wonder : https://wonder.cdc.gov/ +--+ FAQ - How do I download my data extract as a file for use in other software? You can download a simple text file, which is a tab-delimited (the columns of data values are separated by Tabs) line-listing of your data results. First, you must send a request for data. The "By-Variables" you select in your data request define the columns and rows, as well as the detail of your data. See tables for a quick example. After you have the results of your data request, you can click on the Table tab near the top of the screen, to go to the Table Options page, where you can set whether to show totals and sub-totals, zero value rows, labels on every row and the decimal precision of data items, such as rates. Where are the options? Click on the link that says "Options" or look near the bottom of the page, below the the table of data, and above the data description, citation and other issues, for a box with the table option controls. Then press the Tab Export button, located at the top of the page, above the data results. Your web browser then asks you whether to save the file, or to open it now. If you open it now, you can later select your File menu's Save As option to save the file to computer with your preferred folder and filename. Most analysis software packages can load delimited simple text, when the rows and columns are separated by commas or by tabs. If your software has trouble importing a delimited file, you may wish to remove all titles and descriptive text included in the file above and below the numeric values. Note: More information about importing the data extract into Epi Info and other applications can be found here. Notes About the data extract file: Tabs separate the data values (columns). Character values are encapsulated with double quotation marks. Character values are limited to 130 characters. The descriptive information items, such as the title, citation and other issues, appear as character values in rows at the bottom of the file. +--+ Request : 1. Organize table layout Group results by : ICD-10 1133 cause list (and bys : none) Measures : Deaths, population No checks for : 95% confidence interval, standard error age adjusted rate, percent of total deaths Title : CDC Wonder suicides 1998-2018 2. Select location State, Census region, or HHS region : All 2013 urbanization : All categories 3. Select demographics Ten-year age groups : All ages Gender : all Hispnocs origin : aall Race : all races 4. Select year and month : All 5. sELECT WEEKDAY, AUTOPSY, AND PLACE OF DEATH All Weekdays Autopsy : All values pLACE OF DEATH : All places 6. Select causes of deaths ICD-10 113 cause list. #Intentional self-harm (suicide) (*U03.X60-X84,y87.0) 7. Other options, uncheck : export results (useless for one month, day ata a time?) uncheck : show totals (gives error) uncheck : show zero values uncheck : show suppressed values precision : 1 decimal places data access timeout : 10 minutes Send (at bottom of page) Messages: Message Totals and Percent of Total are disabled when data are grouped by 113 or 130 Cause Lists. Check Caveats below for more information. ICD-10 113 Cause List Results are sorted in by-variable order Move this column one place to the right Deaths Click to sort by Deaths ascending Click to sort by Deaths descending Move this column one place to the rightMove this column one place to the left Population Click to sort by Population ascending Click to sort by Population descending Move this column one place to the left Crude Rate Per 100,000 Click to sort by Crude Rate Per 100,000 ascending Click to sort by Crude Rate Per 100,000 descending #Intentional self-harm (suicide) (*U03,X60-X84,Y87.0) 745,360 6,088,633,001 12.2 Note: A '#' symbol preceding the label indicates a rankable cause of death. More information. TopOptionsNotesCitationQuery Criteria Notes: Caveats: Totals and Percent of Total are disabled when data are grouped by a 113 or 130 Cause List because both aggregate and detailed values are displayed in the table. Also be aware that charts and maps containing both aggregate and detail data could be misleading. As of April 3, 2017, the underlying cause of death has been revised for 125 deaths in 2014. More information. Circumstances in Georgia for the years 2008 and 2009 have resulted in unusually high death counts for the ICD-10 cause of death code R99, "Other ill-defined and unspecified causes of mortality." Caution should be used in interpreting these data. More information. Circumstances in New Jersey for the year 2009 have resulted in unusually high death counts for the ICD-10 cause of death code R99, "Other ill-defined and unspecified causes of mortality" and therefore unusually low death counts in other ICD-10 codes, most notably R95, "Sudden Infant Death Syndrome" and X40-X49, "Unintentional poisoning." Caution should be used in interpreting these data. More information. Circumstances in California resulted in unusually high death counts for the ICD-10 cause of death code R99, "Other ill-defined and unspecified causes of mortality" for deaths occurring in years 2000 and 2001. Caution should be used in interpreting these data. More information. The population figures for year 2018 are bridged-race estimates of the July 1 resident population, from the Vintage 2018 postcensal series released by NCHS on June 25, 2019. The population figures for year 2017 are bridged-race estimates of the July 1 resident population, from the Vintage 2017 postcensal series released by NCHS on June 27, 2018. The population figures for year 2016 are bridged-race estimates of the July 1 resident population, from the Vintage 2016 postcensal series released by NCHS on June 26, 2017. The population figures for year 2015 are bridged-race estimates of the July 1 resident population, from the Vintage 2015 postcensal series released by NCHS on June 28, 2016. The population figures for year 2014 are bridged-race estimates of the July 1 resident population, from the Vintage 2014 postcensal series released by NCHS on June 30, 2015. The population figures for year 2013 are bridged-race estimates of the July 1 resident population, from the Vintage 2013 postcensal series released by NCHS on June 26, 2014. The population figures for year 2012 are bridged-race estimates of the July 1 resident population, from the Vintage 2012 postcensal series released by NCHS on June 13, 2013. The population figures for year 2011 are bridged-race estimates of the July 1 resident population, from the Vintage 2011 postcensal series released by NCHS on July 18, 2012. Population figures for 2010 are April 1 Census counts. The population figures for years 2001 - 2009 are bridged-race estimates of the July 1 resident population, from the revised intercensal county-level 2000 - 2009 series released by NCHS on October 26, 2012. Population figures for 2000 are April 1 Census counts. Population figures for 1999 are from the 1990-1999 intercensal series of July 1 estimates. Population figures for the infant age groups are the number of live births. Note: Rates and population figures for years 2001 - 2009 differ slightly from previously published reports, due to use of the population estimates which were available at the time of release. The population figures used in the calculation of death rates for the age group 'under 1 year' are the estimates of the resident population that is under one year of age. More information. Beginning with the 2018 data, changes have been implemented that affect the counts for ICD-10 cause of death codes O00-O99 compared to previous practice. In addition, data for the cause of death codes O00-O99 for 2003 through 2017 reflect differences in information available to individual states and probable errors. Caution should be used in interpreting these data. More information can be found at: https://www.cdc.gov/nchs/maternal-mortality/. Help: See Underlying Cause of Death, 1999-2018 Documentation for more information. Query Date: Jul 6, 2020 3:31:08 PM ******** #] 28Jun2020 find "/home/bill/PROJECTS/" -type f -name "*Prechter*" ADD Alex Fournier - Thunderbolts presentation on consciousness Create separate web-pages for [Prechter, Puetz]? eg use in investments web-page ******** #] 27Jun2020 Web-page [updates, postings] +-----+ central web-page : /media/bill/SWAPPER/Website - raw/Cool stuff/suicide - Berk, Dodd, Henry 2006 Australian female suicides with geomanetic activity 1970-2000.png