Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update encounter_but_green for https://github.com/corona-warn-app/cwa… #319

Merged
merged 16 commits into from
Sep 10, 2020

Conversation

MarlisFriedl
Copy link
Contributor

…-website/issues/307

src/data/faq_de.json Outdated Show resolved Hide resolved
@tkowark tkowark added the To Be Reviewed Issue which needs to be discussed internally with the development team. label Aug 28, 2020
@OlMue
Copy link
Contributor

OlMue commented Sep 1, 2020

@tkowark @MarlisFriedl #343 was requested by the RKI today and probably will be merged earlier than this pull request. This might lead to a conflict, but can be resolved later when you're ready.

@OlMue OlMue mentioned this pull request Sep 1, 2020
@mtb77
Copy link
Member

mtb77 commented Sep 1, 2020

Hi @OlMue, @MarlisFriedl is not responsible for the FAQs anymore, @svengabr and me are now in charge.
Should we have a look at the conflicts?

Cheers,
Sascha

@daimpi
Copy link
Contributor

daimpi commented Sep 1, 2020

@mtb77 could you please revert #343 until we have clarification on this issue? B/c it currently introduces factually incorrect information into the FAQ: #307 (comment)

@mtb77
Copy link
Member

mtb77 commented Sep 1, 2020

@daimpi let me clarify that first

@mtb77
Copy link
Member

mtb77 commented Sep 1, 2020

@daimpi Just had a call with Oliver. I will need to get back with both pull requests to @janetback and the RKI and will give you feedback shortly. Until then we will keep the PR merged.

Cheers,
Sascha

@daimpi
Copy link
Contributor

daimpi commented Sep 1, 2020

@mtb77
While I'm not particularly happy with leaving a PR that introduces factually wrong information into the live FAQ lingering, it will probably not cause too much problems if we can get this sorted out quickly.

Thanks for your effort 👍 🙂.

@daimpi
Copy link
Contributor

daimpi commented Sep 5, 2020

@mtb77 any update on how you plan to proceed with this issue?

@mtb77
Copy link
Member

mtb77 commented Sep 6, 2020

@daimpi hi I will give you an update on this issue tomorrow - sorry for the delay!

Cheers,
Sascha

@mtb77
Copy link
Member

mtb77 commented Sep 8, 2020

@daimpi i merged master back into this branch - can you please doublecheck if i missed a change?

* master:
  Format filenames as monospace
  Fix typos
  Capitalise language names
  2020-09-04-cwa-1-3-post (#344)
  Update faq.json
  Update faq_de.json

# Conflicts:
#	src/data/faq.json
#	src/data/faq_de.json
* master:
  #349 adding new iOS13.7 path to documentation
@mtb77 mtb77 requested review from mtb77 and removed request for tkowark and SebastianWolf-SAP September 8, 2020 12:33
* master:
  added faq entry for ene
"The remaining encounters are rated collectively according to their distance and duration as well as the presumed infectiousness of the other person(s). This rating doesn't always yield an increased risk. This is why the Corona-Warn-App can display encounters, but the risk status stays the same.", "For more details about risk assessment, including a sample calculation, see <a href='https://github.com/corona-warn-app/cwa-documentation/blob/master/cwa-risk-assessment.md' target='_blank' rel='noopener noreferrer'>https://github.com/corona-warn-app/cwa-documentation/blob/master/cwa-risk-assessment.md</a>."
"All active Corona-Warn-Apps regularly download the diagnosis keys released on the Corona-Warn-App server and pass them on to the operating system in batches through an interface. The app checks whether any of these received, recorded rolling proximity identifiers match any of the diagnosis keys. If there is a match, this means the following: The user’s smartphone encountered the smartphone of a person who has uploaded a diagnosis key on the day to which the diagnosis key belongs.",
"In the next step, the app analyzes all the matching rolling proximity identifiers for each diagnosis key, to estimate how long the exposure lasted in total on the day in question and how close the smartphones were to each other on average during the exposure. The distance is calculated from the measured reduction in strength of the Bluetooth signal, which is specified in dB (decibel). All exposures for a diagnosis key that lasted less than 10 minutes in total (regardless of how close the smartphones came during that time) or during which the smartphones were more than 8 meters (73 dB attenuation) apart on average (regardless of how long the exposure lasted) are rated as harmless. This is why the Corona-Warn-App can display encounters, but the risk status stays the same.",
"The remaining encounters are rated collectively according to their distance and duration as well as the presumed infectiousness of the other person(s). This rating doesn't always yield an increased risk. This is why the Corona-Warn-App can display encounters, but the risk status stays the same.",
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Nice!
This change accurately describes the two ways how green encounters can happen 👍.

One thing I was wondering about, but unfortunately don't have a solution: The new entry now states twice in short succession

This is why the Corona-Warn-App can display encounters, but the risk status stays the same.

While this is o/c all correct, I was wondering whether we could formulate this a bit smoother, but I unfortunately don't have a suggestion right now. But it's also not really important, just some cosmetics. What do you think? 🙂

"Alle aktiven Corona-Warn-Apps laden regelmäßig die veröffentlichten Positivkennungen vom Corona-Warn-App-Server herunter und übergeben sie gesammelt über eine Schnittstelle an das Betriebssystem. Dort wird geprüft, ob empfangene und aufgezeichnete Zufallscodes vorliegen, die zu einer der Positivkennungen passen. Passen sie zusammen, heißt das Folgendes: Ihr Smartphone, das die Zufallscodes aufgezeichnet hat, und das Smartphone der Corona-positiv getesteten Person, die die Positivkennung hochgeladen hat, sind sich an einem der letzten 14 Tagen begegnet.",
"Als nächstes wird für jede Positivkennung anhand aller dazu passenden Zufallscodes geschätzt, wie lange die Begegnungen jenes Tags insgesamt gedauert haben und wie nahe die Smartphones sich dabei im Durchschnitt waren. Die Entfernung wird aus der gemessenen Abschwächung des Bluetooth-Signals errechnet, die in dB (Dezibel) angegeben wird. Jedem dB-Wert lässt sich eine Entfernung im Freiraum (d.h. ohne Hindernisse im Signalweg) zuordnen. Alle Begegnungen zu einer Positivkennung, die insgesamt weniger als 10 Minuten gedauert haben (egal, wie nahe sich die Smartphones dabei gekommen sind) oder bei denen die Smartphones im Durchschnitt mehr als ca. 8 Meter Freiraum (73 dB Dämpfung) voneinander entfernt waren (egal, wie lange sie insgesamt gedauert haben), werden als unbedenklich verworfen.",
"Alle aktiven Corona-Warn-Apps laden regelmäßig die veröffentlichten Positivkennungen vom Corona-Warn-App-Server herunter und übergeben sie gesammelt über eine Schnittstelle an das Betriebssystem. Dort wird geprüft, ob empfangene und aufgezeichnete Zufallscodes vorliegen, die zu einer der Positivkennungen passen. Passen sie zusammen, heißt das Folgendes: Ihr Smartphone, das die Zufallscodes aufgezeichnet hat, und das Smartphone der Corona-positiv getesteten Person, die die Positivkennung hochgeladen hat, sind sich am angegebenen Tag begegnet.",
"Als nächstes wird für jede Positivkennung anhand aller dazu passenden Zufallscodes geschätzt, wie lange die Begegnungen jenes Tags insgesamt gedauert haben und wie nahe die Smartphones sich dabei im Durchschnitt waren. Die Entfernung wird aus der gemessenen Abschwächung des Bluetooth-Signals errechnet, die in dB (Dezibel) angegeben wird. Jedem dB-Wert lässt sich eine Entfernung im Freiraum (d.h. ohne Hindernisse im Signalweg) zuordnen. Alle Begegnungen zu einer Positivkennung, die insgesamt weniger als 10 Minuten gedauert haben (egal, wie nahe sich die Smartphones dabei gekommen sind) oder bei denen die Smartphones im Durchschnitt mehr als ca. 8 Meter Freiraum (73 dB Dämpfung) voneinander entfernt waren (egal, wie lange sie insgesamt gedauert haben), werden als unbedenklich bewertet. Deswegen kann die Corona-Warn-App Ihnen Begegnungen anzeigen, ohne dass die Risikobewertung sich ändert.",
"Die verbleibenden Begegnungen werden in ihrer Gesamtheit unter Berücksichtigung ihres Abstands und ihrer Dauer sowie der vermutlichen Infektiosität der anderen Person(en) bewertet. Nicht immer ergibt diese Bewertung ein erhöhtes Risiko. Deswegen kann die Corona-Warn-App Ihnen Begegnungen gemeldet haben, ohne dass die Risikobewertung sich ändert.",
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

the English version states:

This is why the Corona-Warn-App can display encounters, but the risk status stays the same.

while the German one says:

Deswegen kann die Corona-Warn-App Ihnen Begegnungen gemeldet haben, ohne dass die Risikobewertung sich ändert.

display encounters != Begegnung gemeldet

maybe the German version could be brought in line with the English one? Something like "Deswegen kann die Corona-Warn-App Ihnen Begegnungen anzeigen, […]"?

If you compare this (line 63) with the textblock above in line 62, there it has already been adjusted :).
It's not that important, just thought I'd mention it 🙂

@daimpi
Copy link
Contributor

daimpi commented Sep 8, 2020

@mtb77 looks good to me, thanks 👍.

I've left two small remarks in the diff, but nothing important.
So imho this can also just be merged as is 🙂.

@@ -59,7 +59,7 @@
"active": true,
"textblock": [
"All active Corona-Warn-Apps regularly download the diagnosis keys released on the Corona-Warn-App server and pass them on to the operating system in batches through an interface. The app checks whether any of these received, recorded rolling proximity identifiers match any of the diagnosis keys. If there is a match, this means the following: The user’s smartphone encountered the smartphone of a person who has uploaded a diagnosis key on the day to which the diagnosis key belongs.",
"In the next step, the app analyzes all the matching rolling proximity identifiers for each diagnosis key, to estimate how long the exposure lasted in total on the day in question and how close the smartphones were to each other on average during the exposure. The distance is calculated from the measured reduction in strength of the Bluetooth signal, which is specified in dB (decibel). All exposures for a diagnosis key that lasted less than 10 minutes in total (regardless of how close the smartphones came during that time) or during which the smartphones were more than 8 meters (73 dB attenuation) apart on average (regardless of how long the exposure lasted) are rated as harmless. This is why the Corona-Warn-App can display encounters, but the risk status stays the same.",
"In the next step, the app analyzes all the matching rolling proximity identifiers for each diagnosis key, to estimate how long the exposure lasted in total on the day in question and how close the smartphones were to each other on average during the exposure. The distance is calculated from the measured reduction in strength of the Bluetooth signal, which is specified in dB (decibel). All exposures for a diagnosis key that lasted less than 10 minutes in total (regardless of how close the smartphones came during that time) or during which the smartphones were more than 8 meters (73 dB attenuation) apart on average (regardless of how long the exposure lasted) are rated as harmless.",
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The new formulation does indeed fix the repetition, but unfortunately introduces ambiguity whether those "very low risk encounters" (<10min or >73 dB) are shown as "green-/low risk" encounters (which they are). If you're interested I can try to come up with a formulation which unites both aspects later today 🙂

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I was struggling with the build :) yes please!

@mtb77 mtb77 merged commit fac9835 into master Sep 10, 2020
@mtb77 mtb77 deleted the MarlisFriedl-patch-b branch September 10, 2020 11:57
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
To Be Reviewed Issue which needs to be discussed internally with the development team.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

5 participants