“The coffin must be even bigger than a Heidelberg barrel…”

– to fit the many skeletons in the closet of the official Corona narrative:

Our critique of Watson et al’s modelling study is published – Vaccine side effects, unexplained deaths demand clarification

Occasionally I sing the “Dichterliebe”. This is the song cycle that Robert Schumann set to music based on poems by German poet Heinrich Heine. In it, Heine came to terms with his unhappy love. In the last song, No. 16, (here in a very beautiful recording, with Fritz Wunderlich), the poet sings:

The old evil songs,

the dreams evil and bad,
Let us bury them now,
get a big coffin.
Into it I put many a thing,
yet I say not yet what.

The coffin must be even bigger
than a Heidelberg barrel…

Heinrich Heine

I felt reminded of this several times these days, trying to find out if Covid-19 vaccinations have prevented deaths, and seeing the plethora of information slowly oozing out of all corners: Excess mortality, deaths, severe vaccine side effects. Even the world’s vaccination champion Gates now admits that it all didn’t work out as planned after all.

I want to address such questions in this blog. First, I address our new analysis on that model by the Imperial College working group of Watson and others [1]. Our analysis just became available online [2]. And then I discuss some recent information on the issue of side effects and excess mortality despite or because of vaccinations.

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Courts, Governments, Railway Board, Listen Up Everyone:

Wearing masks is harmful to health – a new meta-analysis of a total of 37 studies proves this

Just in time for Christmas, the working group led by Kai Kisielinski and Andreas Sönnichsen has made a meta-analysis available on the preprint server Research Square [1] that clearly proves that mask-wearing has harmful health effects. You should take this into account, dear judges, dear members of governments, regulatory authorities, school administrators, responsible persons at the railways, if you continue to make the wearing of masks compulsory. Because you make yourself liable to prosecution for bodily harm. The meta-analysis shows: in all studied parameters, which are physiological indicators of health exposure, the wearing of face masks leads to relatively large, significant and harmful effects.

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Modelling and Model Building

…using the example of our study: “Identification of different factors associated with Covid-19 deaths in Europe during the first pandemic wave”

A large group of statistical techniques designed to explain past data and also to predict future data is statistical modelling. This means that for a given data set with very different variables, one finds a mathematical structure that represents this data set as well as possible, firstly in a purely formal way. This procedure can be used to examine the influence of different variables on an outcome variable. In the language of modelling, the variable that one wants to explain is the dependent variable or criterion or outcome variable, and the different variables that are supposed to contribute to the clarification of this one variable are several independent variables resp. predictors.

I use our recently published modelling study [1] as a concrete example. It was conceived by me, I calculated the first analyses, then my colleague Rainer J. Klement got involved, who as a physicist is much more nimble in dealing with such models than I am.

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Homeopathy Works for Attention Deficit and Hyperactivity Disorder (ADHD)

and is helpful within limits in healing wounds.

Homeopathy and the results of two meta-analyses

A few years ago, the leader of the German Green Party, Robert Habeck, proclaimed in the heart of conviction, that homeopathy is no more than placebo. Many politicians and medical administrators dutifully agreed. Our health blabbermouth, Health Minister Lauterbach, wants to pour this into a set of rules and remove homeopathy completely from all medical books. Since then, it has become politically incorrect to be pro-homeopathy.

I still think homeopathy is good and have done for a long time, thus I have also been politically incorrect for a long time. Because I am less interested in the opinions of people who have only a very limited idea of the matter and certainly not in the arguments that proceed from unreflected theoretical presuppositions. What I am chiefly interested in, is the data. Because I am politically incorrect, a foundation that supports homeopathy a while ago removed me from my role as a blogger, where I used to comment on new data and studies on the blog Homöopathie.info

Nevertheless, I like homeopathy and engage with it when the opportunity arises, or I am asked. I take the publication of our new meta-analysis on the efficacy of homeopathy in attention deficit hyperactivity disorder in children [1] and our somewhat older meta-analysis on Arnica in wound healing [2], published last year in Frontiers in Surgery, as an opportunity to draw attention to homeopathy.

I would also like to take this opportunity to pass on some methodological knowledge on the subject of meta-analyses in my newest chapter of my methodology blog.

I will start with a small political preface to help understand the general situation, then for those who do not yet know much about it, a few words about homeopathy in general.

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