Ich denke die Journalisten die ständig darauf abzielen vermeintliches Versagen in den Vordergrund zu stellen, sind Teil der Antwort warum sich nicht mehr Menschen in Deutschland impfen lassen.

Unverantwortlich jedenfalls vom Spiegel diese Schlagzeile abzudrucken.

1/n
Wie weiter unten im Artikel erklärt wird, ist ein Anstieg der Impfdurchbrüche logischerweise die Konsequenz wenn mehr Menschen geimpft sind.

Der Anstieg der Impfdurchbrüche ist die Folge einer positiven Entwicklung. (Wären 100% geimpft, dann wären alle Infektionen Durchbrüche!)
Die Statistik die aussagekräftig ist, ist der *Vergleich* zwischen Geimpften und Ungeimpften.
Und der macht sehr klar wie gut uns die Impfung schützt.
Das mag langweilig für sensationsgierige Journalisten sein, würde aber die Leser nicht in ungerechtfertigte Angst versetzen, sondern informieren.
Das ist ja überall!

Hier der Beitrag der FAZ zur Desinformationskampagne faz.net/aktuell/gesell…
Die SZ auch!
Und das obwohl die gleiche Zeitung anscheinend gerade erst selbst erklärt hat, dass diese Statistik nicht aussagekräftig ist!

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More from @MaxCRoser

9 Oct
It is not 'incoherent' to rely on GDP.

GDP per capita is a measure of average income.

If you want to know several other things about our world, you can look at other measures.

[↓ a thread with some thoughts]
For some reason journalists copy this lazy 'criticism' of GDP from each other.
Yes, we want to know many things, but it's nonsense to criticize one metric for not being all the other metrics.

Child mortality also doesn't tell us about environmental degradation. That's fine too.
If you want to know about environmental degradation then look at measures of environmenal degradation.

You find it all on @OurWorldInData – and elsewhere.
Read 7 tweets
7 Oct
My new post with ⁦@_HannahRitchie⁩ is out.

We are trying to improve the situation of the @IEA.

The title is: ‘The IEA publishes the detailed, global energy data we all need, but its funders force it behind paywalls. Let’s ask them to change it.’ ourworldindata.org/iea-open-data
As we explained in that post, it’s the energy ministers who are responsible. They could change it and make this data and research available to the public.

If you want to help, you can write to them and tell them that the public needs this data
The prices for access to some of the @iea's datasets are incredibly high. For example a single license for this dataset costs €1400.
Read 5 tweets
10 Sep
When I make data visualizations I use the software @Tableau.

It is great, though very expensive ($70 per month) – but amazingly, if you are a student, professor, or academic they make it available to you for free.

You can apply for a license here: tableau.com/community/acad…
@tableau All interactive visualizations on @OurWorldInData – for example our COVID Data Explorer ourworldindata.org/coronavirus-da… – are built by us with software that we produce in our team.

We call it Our World in Data Grapher and it’s available open source here github.com/owid/
@tableau @OurWorldInData Non-interactive visualizations – one-off visualizations that are a bit more unusual – I almost always start in @tableau.

I load the data, explore it and build the basic visualization there.

Tableau is super powerful and you can do all kinds of things.
Read 6 tweets
4 Sep
@JKSteinberger @musta_joutsen @_HannahRitchie Hi Julia. I’ve been thinking about this paper after I read it last weekend and I I just can’t understand how you possibly wrote this paper.

I don’t understand how you ever thought it was reasonable to think of measuring human needs with a poverty line of $3.20?
@JKSteinberger @musta_joutsen @_HannahRitchie It’s good to hear that you now agree that $3.20 is the “wrong” poverty line.

But the fact that you relied on this extreme poverty line in your research paper is not a minor thing in this paper. It is what is driving your main result.
@JKSteinberger @musta_joutsen @_HannahRitchie If you would have relied on any reasonable poverty line – $20, $30, $40 a day – you would have obviously found that *the world needs very, very large growth to end poverty*.
Read 10 tweets
26 Aug
1/ A mistake that I see often in the websites of international organizations is that they build data presentation tools as one-off projects.

Right when the new site launches it works well – but as the web & their data changes it quickly gets worse.

Two years later it's broken.
2/There are two ways to avoid this:

– You can hire a team of developers dedicated to maintaining the data presentation across your site. That is great, but it is expensive.

– You can rely on the software that is actively maintained and improved by others.
3/For the second option you can rely on our software if you like our tools.

We at @OurWorldInData make all our work available as global public goods. Our software too.

You find all our software open-source here: github.com/owid
Read 7 tweets
29 Jul
Mini-thread on why to donate.

– If you do have a high income then this is largely because you were lucky to be born at the right place and time.

– If you were born in the past or in a low-income country you'd be poor.

[See my post 'What is growth?' ourworldindata.org/what-is-econom…]
2/ Research shows: a person's home country explains *two-thirds* of the variation of income differences between all people in the world ourworldindata.org/poverty-growth…

This means where you are born is more important for how poor or rich you are than *everything else put together*.
3/ If you do have a high income, you have the opportunity to give some of your money away to support others who were less lucky than you.
Read 8 tweets

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