- a simple url encoder/decoder

 a simple url encoder/decoder


Wirtschaft (134) Österreich (102) Pressefreiheit (78) IT (63) code (37) Staatsschulden (34) EZB (25) Pensionssystem (14) music (3) France (1)
Posts mit dem Label Pressefreiheit werden angezeigt. Alle Posts anzeigen
Posts mit dem Label Pressefreiheit werden angezeigt. Alle Posts anzeigen


Frage zum musikalischen Urheberrecht

Angenommen, ich nehme all den Klassikvorrat, der nicht unter das Urheberrecht fällt her (z.B. Kirchentonarten, alle Klassiker vor 1900 der Moderne, wie Bach, Mozart, ...) und nehme die minmal schützbare Tonfolgen als Samples Baukasten.
Was ist die Menge an Musik, die ich mit diesen Samples Baukasten durch Kombinatorik (theorethisch) erzeugen kann?
(Ich meine, welche Musik lässt sich theorethisch mit diesen Samples als Basis etzeugen).
Keine Sorge, es bleibt den neuen Urhebern genügend Material, weil alle Musik, die nicht auf dem klassischen Notensystem oder Pentatonik basiert (wie 5/9 oder 17/33 oder sonstiger Bruch 2er hoher Primzahlen Tonschritte) lässt sich damit sicher nicht abbilden.

Suppose I take all the classical music compositions, that aren't subject of copyright (e.g. church modes, all modern classics before 1900, such as Bach, Mozart, ...) and use the minimum protectable tone sequences as a sample construction kit.

What is the amount of music that I can (theoretically) generate with these sample modules through combinatorics?
(I mean, what amount of music can theoretically be created with these samples as a basis). 

Don't worry, there is enough material left for new composers, that want to produce under copyright, because all music that is not based on the classical notation system or pentatonic scale (such as 5/9 or 17/33 or other fractions of high prime numbers) cannot be reproduced with it.

Supposons que je prenne tout le stock de musique classique qui n'est pas soumis au droit d'auteur (par exemple, les modes d'église, tous les classiques modernes avant 1900, tels que Bach, Mozart, ...) et que j'utilise les séquences de sons minimales pouvant être protégées comme un exemple de kit de construction.
Quelle est la quantité de musique que je peux générer (théoriquement) avec cet exemple de kit de construction utilisant la combinatoire?
(Je veux dire, quelle musique peut théoriquement être créée avec ces échantillons comme base). Ne vous inquiétez pas, il reste assez de matière pour les nouveaux auteurs, car toute musique qui n'est pas basée sur le système de notation classique ou l'échelle pentatonique (comme 5/9 ou 17/33 ou d'autres fractions de nombres premiers élevés) ne peut pas être reproduit avec.


Semantic web lost in history / herstory around 2010, how to reactivate it & a short contract use case

Current hypes, trends and pushed business models at 2020

Let's take a short look at the current hypes, trends and pushed business models for companies:

  1. IOT (Internet of things), Industry 4.0
    Machines, units, etc. know and probably send their own status at manufacturer, service center, at home or somewhere else over the rainbow (in case of  ugly DNS injection, warped rouing tables [OSPF, BGP] ot men in the middle [squid bump, bluecoat, ...]).
    Those units normally,communicate when they need maintenance, when components soon needs to be replaced, when physical, technical or environmental critical limit reached, when subsystems fail or completley shut down, when the user when the customer operates it improperly or negligently, simply report in intervals that they are alive and everything's OK, , etc

    We can find a lot of use cases for many useful applications here, added value / surplus is often small but still useful! Problems with security, flood of data, extracting relevant events and, above all, reacting to the corresponding message are the challenges here.

  2. Cloud
    I like the cloud, but sometimes cloud feels cloudy, cloudier, obscure dust and smog over keywords and hypes and real hard technical features that generate great customer surplius and real cash or quality of business benefits.

    What are the most common problems, pitfalls and misunderstandigs with any cloud?

    • Lack of specific customer requirements and inaccurate, exact technical specifications from the cloud provider.

      Practical example (what I really need and I'm thinking about right now):
      I need to implement a state service, that saves current game status of small multiplatform games (e.g. card game schnapsenarchon clone, SUPU) in the cloud. If I play on my  android tablet or smartphone, the current state and course of the game will be transfered to a cloud servie, persisted in a cloud storage or database and if I continue playing on Windows desktop, the last state of the game is automatically fetched from the cloud and the game application sets that game state and transferred back to cloud after the next move.

      For my purposes the cheapest way will be sufficient:
      A simple Amazon Linux 2 AMI (HVM), SSD Volume, Type t2.nano, t2.micro or t2.nano with a simple SQL-Database (no matter if hackish install at virtual imaage or the smallest Amazon DB instance) with somekind of open source PHP Swagger API, like

      With similar requirements, some developers and most managers are probably unsure whether to use Amazon ElasticCache or some kind of Session State Server ported to Azure SQL  or entirely another not well known cloud service.

      Even fewer people (including myself) know what the exact technical limits of the individual services are, e.g. the exact performance and scalable elasticity of Anazon Elastic Cache and when scalability of Amazon Elastic Cache is completely irrelevant, since the network traffic and the network data volume will always be the bottle neck in that specific scenario.

    • Nice advertising slogan, but poor performance and poorly configurable options from drive and storage providers, no standard network mount (like SMB or NFS), but a lot of cloudy magic.
      When I look at the beautiful Google Drive and Microsoft One Drive, I immediately see that this is not a classic network file system mount under my point of understanding.
      Reading and writing large blocks or deep recursively nested directory trees is extremely slow.
      I also didn't find an option to have an incremental version history backup created after every change (Create, Delete, Change) to the Cloud Drive or at least simply midnight-generated backups for the last 3 months at low cost.
      Options like synchronizing parts of the Cloud Drive locally create horror nightmares.
      In 1997 we booted an NFS from the USA via Etherboot with real-time DOS and debugged faster Doom Clones and other 3D games in C ++ with some ASM routines and the network performance didn't fail.

    • Difficulty finding the most suitable service in Cloud Djungel. Real technical comparisons between the hard facts and the possibilities of the individual cloud services have so far mainly published by free bloggers, e.g. AWS Lambda vs Azure Service Fabric
      Decisions are more based on creeds (we have a lot of .NET developers, so we'll use Azure, I mah strong Amazon-like power women and Linux, so I'll use Amazon).

Lets go back to RDF in the years 2010 - 2015 

You probably know what semantic web, owl, rdf, machine readable & understandable data are, right?

If not, then here is a little bit of reading:

What does 'going back in time' mean in a large scope and broader sense?

Before all the new trends, there was an attempt to realize semantic web, e.g. RDF as an XML extension with semantic machine-understandable properties.

When we as human beeings read a website or analyze BIG data, we automatically recognize the context, perhaps the meaning and probably the significance of this data.

Machines can't do that, they didn't have a semantic understanding until now.

Information theory distinguishes between 3 levels of information:

  1. Syntax level (compiler construction, scanner, parser, automata & formal languages, extended grammar, e.g.
  2. Semantic level (meaningful reading by people, putting things into context, understanding contexts).
  3. Pragmatic level (goal-oriented action based on information by recognizing the meaning at the level of semantics).

I assume / postulate:

=> If computer programs reach 2. semantic level => then we are a big step closer to AI realization.

Why computer programs can't already implement semantic understandig? 

Theoretically and also practically in terms of technical frameworks, computer programs are already able to understand semantically data.

The concrete problem is here, that too little data are provided in a semantically machine-readable form and a standardized (META-)language.

Example: Regardless of whether Statistics Austria, Open Data GV or ECB, etc, certainly provide very good statistics, but none of them provide semantic machine-readable data.

Somebody has to make here a  larger startup, to transform already provided common and needed statistics public data in semantically machine-readable form.

What does that actually bring in return of short time invest?

Not so much immediately!

What could be the fruits in mid-term or in the long tail?

A lot, because when more and more public open data are availible in a semantic machine readable language, programs can also bring some of them in association and we'll be able to implement meta relational AI rules then.

Use case contracts

Semantic programs doesn't only mean mass data fetching and putting them into relation. 
Semantic programming could also in principle support any very formal business process, e.g. contract management for

  • employment contracts
  • supply contracts
  • service provider contracts
  • insurance contracts
  • bank contracts 
  • and all the contracts that people sign with just one click on a checkbox (which they usually do not know that this is a legal contract consent).

All clear and understandable so far?

I got this idea when I was looking and inspecting the adopted amendment to the laws and newly passed laws by the democratic republic of Austria and I wanted some semantic automated statistics for some use cases. 

For details look at post
or read the post copy below:


Schlafstörungen, nächtliche Recherche und IBM Security

Aufgrund nächtlicher Schlafstörungen recherierte ich ein wenig, denn für ein komplett neues android system image kompilieren, war ich trotzdem viel zu müde.

Dabei fand ich diese netten IBM Security Produkte und noch ein par andere Dinge:

IBM's still alive

IBM Security Trusteer Mobile SDK

Hier gibts so ein trusted mobile device (andoid, iphone, tablet) SDK (Software Development Kit), das Kompromittierungen (root, hacked, jail-breaked, untergeschobene root-CAs um SSL aufzubrechen und evtl. Staatstrojaner und ähnliches erkennt). Jedenfalls sollten Entwickler damit sicherere verteilte Anwendungen für Cloud u.s.w. hochverfügbar implemetieren können:

Mobile device management (MDM) solutions

Das hier ist auch so eine mobile security Geschichte, die mobile Geräte Sicherheit der Mitarbeiter garantieren will. Also so kein "Nachhause-Telefonieren" durch irgendwelche untergejubelten Drittanbieter Apps, klassische End-2-EndPoint Secuirty, u.s.w.

IBM Security Products (case study fraud detection)

Dann zeigt IBM weiter noch, dass es auch eine standardisierte Fraud detection (wahrscheinlich generisch erweiterbar) kann! Ich schätze diese Fraud Detection Engine geht wahrscheinlich über Insolvenzregister, KSV, Casinosperre, Standardbonitätabfragen und dubiose exotische Prepaid oder sontige WireCreditCards hinaus und lernt kontinuierlich (à la Virenscanner):

Zu guter letzt fand ich noch einen sicheren Terminal-Server (diesmal nicht IBM, den sich auch mal wer ansehen könnte):

Gehe jetzt wieder ins Bett, gute Nacht / guten Morgen.


Warum ich der Welt grundlegend misstraue?

Die Zeitung "Die Welt" schrieb: "Ein Forschungsteam hat sich den Erfolg der deutschen Kapitalanlage im Ausland gründlich angeschaut. Dabei hat sich gezeigt, dass die Deutschen bei ihrer internationalen Geldanlage ähnlich erfolglos sind wie bei der Anlage ihrer Ersparnisse." "Andere Länder sind mit der Anlage ihres Auslandsvermögens deutlich erfolgreicher. Seit 1975 liegt die jährliche Rendite deutscher Anlagen im Ausland um fünf Prozentpunkte unter den Erträgen, die die USA erwirtschaften, und immer noch drei Prozentpunkte unter der Rendite, die die anderen europäischen Länder im Durchschnitt erwirtschaften." "Deutsche Anlagen im Ausland besser managen Allein im Zeitraum seit der Finanzkrise hätte Deutschland ein zusätzliches Vermögen im Umfang von zwei bis drei Billionen Euro aufbauen können, hätte es sein Geld ähnlich gut angelegt wie Kanada oder Norwegen. Pro Kopf der deutschen Bevölkerung entspricht das 28.000 bis 37.500 Euro! Auf einen Schlag hätten wir ein um 50 Prozent höheres Vermögen." "Was zu der folgenden Frage führt: Woran liegt es? Darüber kann man nur spekulieren. Um uns zu verbessern, sollten wir zwei Dinge tun: weniger im Ausland anlegen und unsere Anlagen im Ausland besser managen."
Web Link: Screenshot: Äh, wieso muss Deutschland sein Vermögen im Ausland inverstieren? Performance der Börsenleitindezes einiger europäischer Staaten inkl. Schweiz. Wir sehen, der DAX stieg um 254%! Jetzt mal angenommen, die Deutschen hätten ihr Geld in der Schweden oder in der Schweiz angelegt: das wären ja immer noch satte 228% oder 132%. Von Signapur oder den USA rede ich jetzt gar nicht einmal, sondern nur von Europa. Selbst bei Investitionen in den Eurostoxx oder den italienischen Leitindex wäre das noch immer ein kleines Plus von 50%. Und bitte, Italien ist nicht unbedingt das kapitalistischte Land der Welt, oder? Europäisches Land Steigerung von 22.02.2009 bis 10.02.2021: Deutschland 354,19% Schweden 328,13% Schweiz 232,96% Eurostoxx 208,29% Italien 155,45% Griechenland 14,66%

P.S.: Was mich aber wirklich wundert:
Wie in aller Welt konnte Deutschland mit dieser hohen Staatsquote so extrem gut gegenüber der sparsamen liberalen Schweiz performen. Ich vermute, es liegt an den Freihandelsverträgen, die die EU genial aushandelte.

Ich vermute: Da die deutsche Wirtschaft auf Export ausgelegt ist, ist jeder Freihandelsvertrag ein Boost im DAX.

Was hindert eigentlich die Deutschen daran, sich an deutschen Unternehmen zu beteiligen? Ich mein Mtarbeiterbeteiligung ist ein etwas moderneres, aber nicht gerade sehr neues sozialistisches Konzept, das bei so Betrieben, wie der VOEST Alpine, inzwischen sogar [Geschäfsgeheimnis] und [Geschäfsgeheimnis] in Österreich und sogar inzwischen einigen US amerikanischen Unternehmen oder japanischen Unternehmen Gang und Gebe ist. Sind aber alles Industrie- oder IT- Unternehmen. (bis auf Goldman Sachs), aber Nomen est Omen und dort ist immerhin der Sachse vergoldet und nicht Paria.
Welcher Mitarbeiter oder Manager von mittel bis CEO vertraut bitte dem eigenen Unternehmen nicht? Das klingt verdammt nach "Deutscher Bank" oder? Ich kann mir nicht vorstellen, dass ein BMW Mitarbeiter den bayrischen Motorenwerken nicht vertraut oder ein VW Mitarbeiter nicht den Guys in Wolfsburg oder Ingolsstadt. Ich würde sogar T-Systems vertrauen und dort mein Geld investieren!


n-sphere hypermaps ⇒ cattle breeding

Have you ever noticed the advantage of real n-sphere hypermaps?


That is very sad, because with hypermaps thou would understand, recognize, realize immediately,

  1. that alpine pastures for cattles offer little crop yield for humans;
  2. that mordern technical agricultureof is nearly impossible in hilly and mountainous impassable areas with rocks and small swamps inside and only 2% continuous flat area per hectare.
  3. that cattle breeding in certain climatic alpine mountainous regions has much lower risk as Agricultureof with poor hervests in worse case.
  4. that cattles transforrm & recycle low-calorie vegetarian naural grown food much better than humans or hunter mammals with a short intestine.
  5. that chances of success for cattle and sheep breeding are similarly much higher as profitable modern agriculture at Scottish Highlands in the marsh, around rual areas beside Loch Ness, on Outer Hebrides and on small isles (Inishbofin, Claire Island) near the Irish north-west coast.


hard fact reality vs narrative story telling (playing) theater from the point of triggers


The meaning of triggers in this article according to information theory.

A trigger is an impulse that causes people or programmed machines to take certain actions after a message has been understood in both semantic and pragmatic context. Strong triggers include furthermore the feeling of high priority and generate a strong tendency to act, well as an awareness of the consequences of not acting now.

Some examples for triggers

  1. Weather is stormy and rainy (semantically and pragmatically understood) ⇒  
      (Trgger  (T)   
    ⇒  I have to open my umbrella

  2. Fire breaks out ⇒ 
      (Trgger  (T)   
    ⇒  Trigger fire alarm and call fire department

  3. FED is lowering prime interest rate from 2,25% to 0,5%. ⇒ 
      (Trgger  (T)   
     Let's get a cheap credut (loan) in US$ and 
    make classical leverage invest in Dow Jones & Nasdaq!

Detect hard fact reality vs story telling theater by observing behavior of trigger

When I was in the army long time ago, we learned several emergency commands / orders. One of that was 'AC-Alarm' (Atomic nuclear, biological or chemical are launched, so troops had to immediately Initiate protective suit and emergency measures)

Nobody was ever maling many funny jokes in that training, similiar to fire breaks out ⇒ fire alarm in the examples above. When observing the trigger behavior. everybody recognizes, that this is no playing game and a real dangerous situation. Same story, when people are infected with HIV (AIDS) Virus or (not so deadly) Malaria.

Well, when looking at the Coronavirus, triggers are too soft, negligently, inconsistent.
Remember all DioxinPlutoniumAnthrax incidents in the last 25 years, remember even Creutzfeldt–Jakob disease. triggers were much more hard and serious, even when there was never danger for many people in all that cases.

According the media Coronavirus has already killed hundreds of thousands of alleged dead, but nobody's reacting or triggering heavy casualties for real. People are still playing that game, but nobody takes / triggers that Coronavirus real serious / grievous.


EPU Personenbetreuer in Vorarlberg & weiter stark (aber nicht mehr wachsend)

Im Jahr 2014 befasste ich mich rein privater Natur mit dem Wachstum / Entwicklung / Überhitzung der veschiedenen Wirtschaftssektoren, Sparten, Branchen, Fachgruppen, Berufsgruppen und sonstige kurzfristingen Trends und langfristiger Entwicklungen in den Bereichen Arbeit und Wirtschaft anhand des ganz konkreten Beispiels der Berufsgruppe Selbstständige Personenbetreuer.

Ich verfasste folgenden sehr kurzen Artikel auf meinem Blog hier dann dazu. Der Grund für gerade diese Berufsgruppe für jene Fallstudie war nicht etwa ein sozialer Hintergrund (z.B. arme ausgebeutete Scheinselbstständige im untersten Einkommenssegement)  oder ein rassistisches Motiv (es handelt sich bei Mitgliederinnen dieser Berufsgruppe vornehmlich um weibliche der Volksgruppe der Slawen zugehörige osteuropäische EU-Bürgerinnen), sondern ganz simpel und einfach die Tatsache, dass es in Österreich aufgrund der demographischen Entwicklungen in diesem Marktbereich sehr leicht einschätzen lässt, welche Nachfrage es durch immer mehr pflegebedürftige Pensionistinnen gibt und gleichzeitig welcher  Angebotsbedarf an Personenberteuerinnen (Pool an Betreuerinnen) dazu sich korrespondieren entwickelt.

Bis Anfang Jänner 2019 stiegen Angebot und Nachfrage in der Pflegebetreuung relativ konstant an (eine immer größer wachsende Anzahl von Pfelgebedürftigen mit immer exklusiveren Bedürfnissen stand korrelierend ein stetig wachsendes Angebot an Pflegeleistungen und immer mehr Betreuerinnen gegenüber).
Im fortschreitenden Jahr 2019 stagnierte allerdings die Angebotsseite deutlich zum 1. Mal seit Jahren und es gab kein sichtbares signifikantes Wachstum bei der Anzahl der sich anbietenden Personenbetreuerinnen.

Seit Anfang 2020 schrumpfte bereits die Angebotsseite sichbar. (sprich eine signifikante geringere Anzahl an vorhandenen selbstständigen Personenbetreuerinnen offerierte eindeutig nicht mehr derart manngfaltige Liestungsangebote, sondern viel mehr ein günstiges Standard-All-In Paket / Dienstleistung).


Staatsschulden Deutschland

Laut Statistik der Wirtschaftskammer Österreich sind die Staatsschulden von Deutschland die letzten Jahre extrem gesunken (von 82% des BIP 2010 auf 56,8% des BIP 2020 approximiert).

Trading-Economics bestätigt diese Daten:

Auch die EZB Daten bestätigen dieses Bild:

Details für Feinspitze gibt es hier:

Alle unterschiedlichen Quellen bestätigen, dass Deutschland seine Staatsverschuldung in den letzten Jahren im Vergleich zur Wirtschaftsleistung (Brutto-InlandsProdukt) extrem reduzierte.
Ob Deutschland Investitionsbedarf im Bildungs- oder Infrastrukturbereich hat, kann ich nicht beurteilen, ich habe dazu leider keine Quelle.

Auf alle Fälle sitzt die Bundesbank immer noch auf einer beachtlichen Menge an (derzeit ungedeckten) Target Forderungen (Wer weiß schon was die Zukunft bringt)?


Normand & Anglo-Saxon (after battle of Hastings 1066)

Normand: Alors mon petit, apporte-moi du boeuf!
Anglo-Saxon: Beef, that's cow (Kuh), beef?

Normand: Si doux, prends moi des moutons!!
Anglo-Saxon: Mutton? That's lamb (Lamm), why mutton?

Normand: Hé ma chérie, apporte-moi du porc!!!
Anglo-Saxon: Pork? Thou mean swine (Schwein)?


Meta grouping school modules & courses (working draft)

We want to learn more MINT module courses and kess dead languages at highschool & basic college [Draft, still in work]

  1. mathematics
    • basics
    • technically drawing geometry
    • spreadsheets & business calculation
    • logics
  2. languages
    • native or classroom/school language
    • mandatory english
    • optional foreign languages, e.g. french, spanish, german, chinese, ...
    • dead languages, e.g. latin, ancient greek
  3. geopolitics & economics
    • geography & earth science
    • local & foreign economics
    • local & foreign politics
  4. biochemistry
    • biology
    • environmental studies
    • dietetics
    • chemistry
  5. mechatronics
    • physics
    • IT OS user level & simple programming
    • electronics
    • mechanical engineering
    • combined mechatronics with LEGO mindstorms
  6. culture & aesthetics
    • history
    • music
    • art
    • aesthetics
  7. ethics
    • theory: religious & ideology studies, later psychology & philosophy
    • practice: solving religious, ideologically, gender or special needs problems, group dynamics, NLP, choice & option role games
  8. sports
    • basics [athletics. fitness & stamina training]
    • ball games [soccer, basketball, volleyball, handball, hardball, rugby, ...]
    • creative [impulse dance, monkey & pirate gymnastics, acrobatics, wrestling]
    • outdoor & elements [swimming, skating, ice-skating, cycling, climbing, military, horse riding, sports with dogs]
      please notice, that military, horses and hounds is only a final joke. please take not all 100% seriously, but try to understand the message


Geopolitics & Economics


Instead of physics, IT and additional electronics, I would try to introduce a much more practical mechatronic light little bit more light weight module already in school by introducing something like Lego mindstorms: Children and young people can so easy learn, how to combine mechanics construction, electronics and IT programming with quick and boombastic results.

Culture & Aesthetics


I would dump all religious courses in school and provide instead a mandatory ethic coursed for all children. Basic knowledge part of that course should include most important religions, ideologies (like socialism, democratic and totalitarian ideologies, imperialism, love movement of 68, deep state ethics, feminism and so on). At college level, we might include philosophy here too. 
Practial part should help to resolve cultural, gender, religious or any other ideologically based conflicts by playing role plays, visiting conflict areas in country, etc.

Strong religious believers could offer their childs excellent private courses during their free time, if they want. But mission in school is different, religion should be more in private and family / community space than in public education. (There are certain expensive private religious schools too, everyone is free to take that choice).


Debt mystery of Luxembourg

All informations according to

In year 2017 GDP of Luxembourg amounted to 62,40 billion US$ (62.400.000.000 US$).
In year 2011 GDP of Luxembourg amounted to exactly 62 billion US$ ( US$).

In year 2017 private sector debt of Luxembourg was 474,84% of GDP
62,4 * 4,4784 = 296,30016 billon US$ (296.300.160.000 US$)
In year 2011 private debt to GDP of Luxembourg was 407,9% of GDP.
62 * 4,079 = 252,898 billion US$ (252.898.000.000 US$)

In year 2017 public sector debt of Luxembourg was 23% of GDP.
62,40 * 0,23 = 14,352 billion US$ (14.352.000.000 US$).
In year 2011 public sector debt of Luxembourg was 18,8% of GDP.
62,40 * 0,188 = 11,7312 billion US$ (11.731.200.000 US$).

in year 2017 public & private sector debt of Luxembourg amounted to 310,65216 billion US$ (310.652.160.000 US$).
In year 2011 public & private sector debt of Luxembourg amounted to 264,6292 billion US$ (264.629.200.000 US$).

In year 2017 population of Luxembourg was 590.000 citizen (habitants).
In year 2011 population of Luxembourg was 510.000 citizen (habitants).

in year 2017 public + private debt per citizen amounted to 526.529,08 US$. (= 468.171,23 €)
In year 2011 public + private debt per citizen amounted to 518.880,78 US$. (= 461.370,63 €)
Private & public sector debt per citizen in Luxembourg amounts approximately to ½ million US$ (constantly between 2010 - 2018)
Quiet a very high amount per citizen, but dear Hans-Werner Sinn, how do you calculated in 2011 1,9 billion € (maybe trillion, cause german word Billionen means english trillion) of public sector + banking debt per citizen in Luxembourg?

Hans Werner Sinn debt calculation differs to tradingeconomics calculation by 380.000%. (That's really quiet a huge difference, in best case, when he meaned trillion it's another factor 1.000 => 380.000.000%)  

Debt comparsion with other countries in year 2017


Germany pub. + priv. 211,5% debt of 3.677,44 billion US$ GDP
7.777,7856 billion US$ = 7.777.785,6 million US$ total debt in Germany.
7.777.785,6 million US$ / 82,52 million citizen = 94.276 US$.
83.827 € total debt per german citizen.


Austria pub. + priv. 241,6% debt of 416,60 billion US$ GDP
1.006,5056 billion US$ = 1.006.505,6 million US$ total debt in Austria.
1.006.505,6 million US$ / 8,77 million austrian citizen = 115.690,30 US$
102.868 € debt per austrian citizen.
Austria gdp per capita = 49.129,23 US$
Austria gdp per capita ppp = 45.436,69 US$
Austria gdp per citizen = 47.340,90 US$
Austria gdp per gainfully employed (4,2605 million 82,78% in private sector, 17,21% in public sector) = 97.782 US$ (= 86.944,33 €)
Average income of employed in Austria is (45.345€ labor costs for company) 32.267€ before taxes, 22.640€ after taxes per year (2017).
How gdp per capita ppp is calculated? Are only working people included or retired people too?


Japan pub. + priv. 483% debt of 4.872,14 billion US$ GDP
23.532,4362 billion US$ = 23.532.436,2 million US$ total debt in Japan.
23.532.436,2 million US$ / 126,7 million japanese citizen = 185.734 US$.
20.787.295¥ debt per japanese citizen

United States

United States pub. + priv. 358,4% debt of 19.390,60 billion US$ GDP
69.495,9104 billion US$ = 69.495.910,4 million US$ total debt in United States.
69.495.910,4 million US$ / 325,7 million american citizen = 213.374 US$.
213.374 US$ debt per american citizen


pub. + priv. 296% debt of 678,89 billion US$ GDP
2.009,5144 billion US$ = 2.009.514,4 million US$ total debt in Switzerland.
2.009.514,4 million US$ / 8,5 million swiss citizen = 236.413,46 US$.
 236.413,46 US$ debt per swiss citizen


Ireland pub. + priv. 450,27% debt of 333,73 billion US$ GDP
1.502,686071 billion US$ = 1.502.686,071 million US$ total debt in Ireland.
1.502.686,071 million US$ / 4,8 million irish citizen = 313.060 US$.
278.362 € debt per irish citizen

When looking at GDP per capita, we see that GDP calculaton is often a very big bullshit.
According to tradingeconomics an irish citizen yields almost twice the GDP per capita performance of average japanese citizen. Japan is an industrial export country with at huge positive balance of trade and current account, while Ireland's current account is tiny positive cause of tourism and US tech giants IT cloud services (like amazon cloud Ireland or Microsoft IT departments). Prices in Ireland are very high compared to the rest of euro-area. But blowing up GDP, by increasing prices is a very evil GDP magick in my point view (Really, really)! (And yes, high prices in Ireland are one reason for that "greater" GDP per capita, but that's not the only reason of this GDP distortion). On the other side, Germany artificially shrinks his GDP (according to all other macroeconomic indicators of Germany).


ECB press conference April 2019

  1. Key interest (prime) rates will remain at 0% at least until the end of 2019.
  2. Inflation in the eurozone is expected little less than 2%.

  • Eurozone has no longer same substantial problems as in 2016, progress has been made.
  • Economic growth in the eurozone is still weak, and there are still geopolitical and other problems.
  • Structural reforms in many countries need to be continued. Member states should implement growth-promoting measures. (still a problem, that too few structural reforms and simultaneously avoiding growth friendly steps).


macroeconomics indicators of Poland

Macroeconomics indicators of Poland are looking quiet OK compared to southern european countries!

government debt under Maastricht criteria

Poland recorded a government debt equivalent to 54.40 percent of the country's Gross Domestic Product in 2016. Government Debt to GDP in Poland averaged 46.47 percent from 1995 until 2016, reaching an all time high of 55.70 percent in 2013 and a record low of 36.50 percent in 2000.

GDP per capita looks healthy

The Gross Domestic Product per capita in Poland was last recorded at 26003.01 US dollars in 2016, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Poland, when adjusted by Purchasing Power Parity is equivalent to 146 percent of the world's average.

Current Account could be a little bit better, but is mostly balanced now

Poland succeeded to lower unemployment rate since 2008 very well
Main stock index the Warsaw Stock Exchange WIG is performing very well over the last 4 years, since other european stock indices were in trouble during the same time.

Polish zloty has approximately same value as turkish lira

At least demographics of Poland (Population age pyramid) could be better and is not so balanced,


macroeconomics indicators of Norway

Macroeconomics indicators of Norway are looking very good compared to it's neighbors! 

Very low debts
Norway recorded a government debt equivalent to 35.60 percent of the country's Gross Domestic Product in 2016.
GDP per capita looks healthy
The Gross Domestic Product per capita in Norway was last recorded at 64272.16 US dollars in 2015, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Norway, when adjusted by Purchasing Power Parity is equivalent to 362 percent of the world's average.
Current Account and Balance of Trade generate quiet good surplus 
Norway recorded a Current Account surplus of 4.90 percent of the country's Gross Domestic Product in 2016. Current Account to GDP in Norway averaged 6.85 percent from 1980 until 2016, reaching an all time high of 16.20 percent in 2005 and a record low of -6.10 percent in 1986.

Unemployment rate is as low as US (much lower as euro-zone average with 9.2%)
Norway's seasonally adjusted unemployment rate edged up to 4.6 percent in the three months to May 2017 from 4.3 percent in the December-February period and above market expectations of 4.4 percent.

Main stock index the Oslo Børs All Share Index (OSEAX) is performing very well over the last 4 years, since other european stock indices were in trouble during the same time.
 Yahoo Finance;
Last but not least, demographics of Norway (Population age pyramid) are looking better than many other european countries (e.g. Germany).


Was machen die USA, Kanada und Mexiko besser als die EU?

Wenn ich mir die Arbeitslosenzahlen in den USA, Kanada und Mexiko ansehen, dann liegen die gesamt gerechnet im Schnitt unter 5%.

Im Vergleich dazu liegt die Arbeitslosenrate der Euro-Zone noch immer über 9%, siehe:

Auch die Demographien (Alterspyramiden) der Vereinigten Staaten, Kanada und Mexiko sehen weitaus gesünder aus, als die der meisten europäischer Staaten. Die Rentensysteme der USA, Kanada und Mexiko stehen auf sehr soliden Beinen und sind sehr nachhaltig gestaltet, nicht nur für Kinder, sondern auch bereits für Enkelkinder.
Auch normalisieren sich derzeit die Leitzinsen auch in den Vereinigten Staaten von Amerika bereits wieder.

Also stelle ich provokant folgende Frage;
Was läuft jenseits des Atlantiks besser als in Europa (ohne Lichtgestalt wie Merkel und trotz Trump)?