A Social Network discussion, the vegan propaganda is spread by anonyms who are posting advice without proofs.
Fer +fer
GOOGLE.FR
figatellu lentilles - Recherche Google
- J’aime
- · Répondre
- · 1 j
- Non pas les lentilles.
- J’aime
- · Répondre
- · 1 j
Discordance entre notre génomique et l'alimentation industrielle: les solutions About the wide gap between our genomics and present diet
https://www.nytimes.com/2014/09/06/health/ebola-immunity.html?fbclid=IwAR2mDxeV_DRTmbMCEitrQ8QoQ4wNH7bJ51DPhPQq0LUzdksLRLrXQxq2HfE
https://l.facebook.com/l.php?u=http%3A%2F%2Fwww.journalrepository.org%2Fmedia%2Fjournals%2FBJMMR_12%2F2014%2FDec%2FLipinski632014BJMMR14858.pdf%3Ffbclid%3DIwAR3H7WuWHwDlKV3hnBp5MxV3eRv6N1h4_aJ52C47y2mNKP6BjCbAFExx2z0&h=AT3q27RiLXSRow7xErLP4GwBQOHWfZ0sHs_qFc6_O92xGmec8oH6j-oIe8QfNDNej27wVWLN2tHF2SdLQR9aob4F7ovyS9sdYxD4Tmym9vk2Vno3273WJocjmuVhEGNV_yOi-w&__tn__=R]-R&c[0]=AT35KuuP-jc-doNZNUNZU48to8R1VdGgUYhzRmf0CW_tf_UErzZgqiPs1n6uoOwcK_jgwK0qcANQ_VqpNmiP6zMZtAE1UrcutS_WCCWSPJjoJh2T_3JH27jcsKz-XAGjP-rWSEe1W5vEoiL_bAF__ckrpzia7ngHEvetOuapeUoB1hs
file:///Users/GuyAndrePelouze/Documents/Selenium/Lipinski632014BJMMR14858.pdf
The French chemist Louis Pasteur helped us take a huge step forward from these lines of thought when, in the 1860s, he definitively proved the existence of germs as the cause of disease.
https://pubmed.ncbi.nlm.nih.gov/12758285/
The terrain
https://juniperpublishers.com/jojnhc/pdf/JOJNHC.MS.ID.555631.pdf
In a speech to a group of students and physicians, Bernard declared, “The terrain is everything; the germ is nothing.” He then lifted a glass of water, contaminated with deadly cholera bacteria, and drank it. He didn’t get sick, proving that his “terrain” was as healthy as he claimed it was. He made his point — germs don’t cause disease. Establishing a foundation of health and vitality, free of toxins, and fostering a strong, balanced immune system, he argued, was more important than killing pathogens.
Sugar in and Sugar out, all forms of glucose or simple sugars enter the digestive tract and cannot be removed but only used, urinated, transformed in fat, pushed in muscles |
https://www.mdpi.com/2072-6643/12/10/3216/htm
"There seems to be a strong relationship between obesity and pain [4]. Usually, the association between overweight and musculoskeletal pain has been attributed to an increase in the mechanical stress caused by overweight in load bearing joints. However, the literature also shows an association between pain and overweight in joints that do not support load [3,5,6,7,8,9]. For example, associations between overweight and symptomatic osteoarthritis of the hand [5], shoulder and neck pain [6], the number of episodes and intensity of migraine attacks [7,8], even with neuropathic pain [9] have also been described. Thus, the relationship between overweight and musculoskeletal pain appears to be at least, in part, independent of the mechanical overload and probably involves systemic phenomena."
https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-020-01815-3
"Vegans watch your bones..."
This unanimity in the media is totally baseless.
1/ this study is observational and shows only associations.
2/ The absolute risk is 4,8/1000 for meat-eaters, more exactly 47.2 (44.9, 49.7) fractures for 1000 persons during 10 years...
3/ Stating some advice or worse writing a prescription on observational studies is BS or biased governmental bla-bla.
4/ The amount of dairy in the questionnaire needs further analysis.
"
Classification of diet group
At recruitment, participants completed a questionnaire which asked about diet, socio-demographic characteristics, lifestyle, and medical history. A follow-up questionnaire which asked similar questions was sent to participants in 2010. Based on the responses to both questionnaires (if the participant completed the follow-up questionnaire), the participants were categorised into meat eaters, fish eaters (did not eat meat but ate fish), vegetarians (did not eat meat or fish, but ate one or both of dairy or eggs), and vegans (participants who did not eat meat, fish, dairy, and eggs) at both time points. Further details on the questionnaires, classification of diet group including agreement of diet group at baseline and follow-up, and data collection of other baseline characteristics can be found in Additional File 1: Supplementary methods [20,21,22,23,24,25,26,27]."
Same unreliable studies where you sent questionnaires at 10 y interval. The peer review is faulty.
Vitamine D3
Raisonner en UI pour les apports
Viser 50 ng/ml en concentration sanguine
Calculer
https://www.grassrootshealth.net/project/dcalculator/
1 ml = XX gouttes
Donc si il y a 10 000 UI/ml c'est 500 UI/goutte mais la solution est visqueuse et une goutte ne contient que 300 UI
1 goutte de Zyma D3 = 300 UI
________________________________________
Vitamin D3
Reason in IU for inputs (do your maths in IU is easier than in micrograms)
Aim for 50 ng/ml in blood concentration
Calculator
https://www.grassrootshealth.net/project/dcalculator/
1 ml = XX drops but due to the viscosity of the solution, 1 drop is 300 UI with the Zyma D3 brand.
So if there are 10 000 IU / ml it is 500 IU / drop
1 drop of Zyma D3 = 300 IUOysters contain particularly high amounts, with 6 medium oysters providing 32 mg or 291% of the DV.
https://www.healthline.com/nutrition/best-foods-high-in-zinc#TOC_TITLE_HDR_7
La vitamine B3 est au centre de nombreux systèmes enzymatiques et singulièrement celles impliquées dans la production d'énergie.
Sources alimentaires:
Aliments riches en vitamine B3, pour 100 g* | Teneur en vitamine B3 |
Levure alimentaire | 25 mg |
Foie de veau cuit | 13,7 mg |
Thon en boite appertisé, égoutté | 12,6 mg |
Rognons de porc | 6,1 mg |
Maquereau fumé | 8,42 mg |
Poulet | 6,35 mg |
Champignons crus | 3,61 mg |
Cacahuètes grillées et salées | 13,6 mg |
Poire | 0,219 mg |
Muesli aux fruits ou fruits secs enrichi en vitamines et minéraux | 13,6 mg |
Pain complet | 2,5 mg |
Lentilles cuites | 0,664 mg |
Riz blanc cuit | 0,4 mg |
Pomme | 0,164 mg |
Pommes de terre cuites à l’eau | 1,38 mg |
Artichaut cuit | 1 mg |
Epinards cuits | 0,49 mg |
Lait écrémé pasteurisé | 0,09 mg |
Œufs à la coque | 0,064 mg |
Check your NAD and supplement if necessary especially in this pandemic.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322475/
https://onlinelibrary.wiley.com/doi/full/10.1111/jdi.12485
https://nadovim.com/why-science-suggests-nad-might-give-us-a-fighting-chance-against-the-coronavirus-covid-19/
https://www.aboutnad.com/perspectives/raising-nad-levels-with-niagen-nicotinamide-riboside-inhibits-coronavirus-replication-in-preclinical-cell-model
The GMO plot thickens, in a funny way. I thought that the GMO "experts" are making errors in logic and risk but I realize they do not understand their own claims in their research and contradict them. Many are critical on our focus on "absence of evidence" as "nonscientific" yet their own work is based on this approach (that is, put the weight on the side of absence of evidence)... I repeat, in their own works. Their papers need to abide by a certain statistical procedure yet most don't know what it is about. Looks like they hire some staff person to process data or use some opaque (to them) computerized procedure .
---
For standard statistical theory doesn't allow "acceptance", it only allows "failure to reject". Even when someone in prose says "accept that" he mathematically means "failed to reject at some significance level...", i.e., "BARRING A TAIL EVENT". Similarly, when someone is indicted, he is treated as innocent unless proven otherwise. This principle is adopted by scientific journals (remember that statisticians are the "evidence" police). This is a big thing and it is ironic.
---
The biologists after us don't appear to be aware of the central fact that evidence = "barring a tail event" and argue they have "evidence there can't be a tail event". The fact that statistics is hard for scientists AND they need to use it (as part of their own canon) means they rely on computers or some statistician who happens to be passing by... We mentioned that >50% of published neurobiology papers in "prestigious" journals making comparisons make an elementary (but severe) statistical mistake. But it looks like things are a lot, a lot worse.
---
P.S. As I show in SILENT RISK, acceptance can be done but it needs to be nonprobabilistic s.a. "there exists at least one black swan as I have seen one". As such it is never part of hypothesis testing.
https://www.facebook.com/13012333374/posts/10152632226883375/
No. samples | Iodine | Total arsenica | Mercury | Lead | Cadmium | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Average (± SD) | Range (min–max) | Average (± SD) | Range (min–max) | Average (± SD) | Range (min–max) | Average (± SD) | Range (min–max) | Average (± SD) | Range (min–max) | ||
Phaeophyta (brown algae) | |||||||||||
Saccharina latissima | 16 | 2,302.5 (1,098.18) | 333.0–4,782.2 | 38.324 (8.713) | 22.504–54.117 | 0.016 (0.005) | 0.007–0.023 | 0.257 (0.222) | 0.072–0.708 | 0.682 (0.216) | 0.231–0.966 |
Fucus vesiculosus | 27 | 274.9 (75.87) | 137.8–451.2 | 28.379 (19.690) | 10.358–116.677 | 0.012 (0.007) | 0.003–0.042 | 0.897 (1.730) | 0.189–9.601 | 0.780 (0.372) | 0.299–1.969 |
Fucus spiralis | 1 | 209.52 | – | 8.940 | – | 0.019 | – | 0.956 | – | 0.464 | – |
Fucus evanescens | 1 | 394.16 | – | 14.084 | – | 0.008 | – | 0.506 | – | 0.520 | – |
Fucus serratus | 14 | 366.46 (197.92) | 105.2–961.4 | 30.269 (9.579) | 21.457–56.277 | 0.009 (0.003) | 0.005–0.015 | 0.465 (0.177) | 0.236–0.865 | 1.044 (0.339) | 0.628–1.561 |
Chlorophyta (green algae) | |||||||||||
Ulva lactuca | 2 | 18.97 (2.52) | 17.2–20.8 | 3.399 (0.293) | 3.192–3.606 | 0.007 (0.002) | 0.005–0.008 | 0.078 (0.019) | 0.064–0.092 | 0.038 (0.030) | 0.0168–0.059 |
Cladophora sp. | 1 | 140.27 | – | 7.069 | – | 0.007 | – | 1.447 | – | 0.782 | – |
Iodine (μg/day) | Mercury (μg/kg bw per day) | Lead (μg/kg bw per day) | Cadmium (μg/kg bw per day) | |||||
---|---|---|---|---|---|---|---|---|
Average | 95th percentile | Average | 95th percentile | Average | 95th percentile | Average | 95th percentile | |
Species‐specific exposure | ||||||||
Fucus vesiculosus | 1,374.6 | 274.9 | 0.00100 | 0.0015 | 0.0747 | 0.14424 | 0.0650 | 0.0928 |
Fucus serratus | 1,832.2 | 2,523.2 | 0.00099 | 0.0010 | 0.0387 | 0.05998 | 0.0870 | 0.1217 |
Fucus spiralis | 1,047.6 | – | 0.00161 | – | 0.0796 | – | 0.0387 | – |
Fucus evanescens | 1,970.8 | – | 0.00069 | – | 0.0421 | – | 0.0433 | – |
Saccharina latissima | 11,512.3 | 18,677.2 | 0.00135 | 0.0018 | 0.0214 | 0.05380 | 0.0568 | 0.0772 |
Ulva lactuca | 94.9 | 86.0 | 0.00055 | 0.0004 | 0.0065 | 0.00536 | 0.0031 | 0.0014 |
Cladophora sp. | 701.3 | – | 0.00062 | – | 0.1205 | – | 0.0652 | – |
Population of samples | ||||||||
4,052.7 | 13,631.1 | 0.0010 | 0.0016 | 0.0521 | 0.0786 | 0.0652 | 0.1194 |