Diverging count of active users in the last 30 minutes (StreamView) - firebase

I recently noticed that the user count that is shown on the map on the "StreamView" page is much lower than normal.
However, in the "Project Overview" tab, the same user count appears to be normal, as it is in accordance with the numbers that I had already obtained in my app's statistics.
When I click on that number of users online on the "Project Overview" page and I'm redirected to the map I see a completely different and much lower number...
This is happening with my 2 projects.
I took 2 screenshots to exemplify, one for each project. In both there are the two screens opened simultaneously to show the difference in the number of active users.

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How do number based permission systems work?

This is NOT a question about Discord, but about how a feature on Discord was implemented.
Discord has a system in place where a set of numbers added together can represent a set of selected permissions. I spent some time looking around the internet and playing with Discord's link generator to form an understanding of what is happening but I haven't been successful.
In the following image, it can be seen that I have selected a set of permissions for a small bot and in the generated URL a number is provided under the permissions parameter:
What I don't understand is, how are the numbers (for each permission) assigned such that when any combination of numbers is added together there are no conflicting/ambiguous results?
Also, once a number is generated, how are the numbers interpreted and converted back to their original meanings?
Every individual tickbox corresponds to one bit position. The final number is the binary number obtained by writing "1" at every ticked position and "0" at every non-ticked position.
For instance, "Manage channels" is 0b00010000 = 16 and "View audit log" is 0b10000000 = 128, hence if you tick both "Manage channels" and "View audit log" and nothing else, you'll get 0b10010000 = 144.
Source: https://discordapi.com/permissions.html#144

Page speed Does not pass even after scoring 90+ on Page Speed Insight

My webpage is scoring 90+ on desktop version but yet it's test result on Field Data show "does not pass". While the same page on Mobile with 70+ speed is marked as "Passed"
What's the criteria over here and what else is needed to pass test on desktop version. Here is the page on which I'm performing test: Blog Page
Note: This page speed is on 90+ from about 2 months. Moreover if anyone can guide about improving page speed on Mobile in WordPress using DIVI builder, that would be helpful.
Although 6 items show in "Field Data" only three of them actually count towards your Core Web Vitals assessment.
First Input Delay (FID)
Largest Contentful Paint (LCP)
Cumulative Layout Shift (CLS)
You will notice that they are denoted with a blue marker.
On mobile all 3 of them pass, despite a lower overall performance score.
However on Desktop your LCP occurs at 3.6 seconds average, which is not a pass (it needs to be within 2.5 seconds).
That is why you do not pass on Desktop but do on mobile.
This appears to be something with your font at a glance (sorry not at PC to test properly), causing a late switch out. I could be wrong, as I said, I haven't had chance to test so you need to investigate using Dev Tools etc.
Bear in mind that the score you see (95+ on Desktop, 75+ on mobile) is part of a synthetic test performed each time you run Page Speed Insights and has no bearing on your Field Data or Origin Summary.
The data in the "Field Data" (and Origin Summary) is real world data, gathered from browsers, so they can be far apart if you have a problem at a particular screen size (for example) etc. that is not picked up in a synthetic test.
Field Data pass or fails a website based on historical data.
Field Data Over the previous 28-day collection period, field data shows
that this page does not pass the Core Web Vitals assessment.
So if you have made recent changes to your website to improve your site score you need to wait atleast a month so that Field Data shows result based on newer data.
https://developers.google.com/speed/docs/insights/v5/about#distribution

Measuring quantitative metrics in Google Analytics

My team and I are trying to measure quantitive metrics in Google Analytics and we're not sure what's the best way to do so.
We're a privacy app with a photo vault and we want to measure the number of items a user saves within the app, for example for a user who uploaded 10 photos to the app, but we're not sure how to do so.
An event seems wrong because we don't want an event for each import of content a user makes, for example:
if the user flow is:
Day 1 - Upload 3 items
Day 2 - Uploaded 5 items.
Day 3 - Removed 2 items.
at the end of day 3, we want to see that this specific user now has 6 items in the app, and we want to be able to filter it by: "Show me all the users that currently have 5 items or more in the app".
We also tried User property but it doesn't work because we cant filter it like I wrote above, any suggestions?

Compare 2 pages (old/new) in 2 different timeframes in Google Analytics

On site.com I've two products: site.com/product-1 (old product) and site.com/product-2 (new product)
On these two pages, I have to compare their
• page visits
• users
• time spent on page
• bounce rate
• etc
in a different timeframe: same period last year and this year.
I already had a look at Can I compare two different page's stats in Google Analytics? but it's not what I'm looking for.
Thanks for any kind of suggestion!
I think there are two parts to your question, one part is about how to compare two different timeframes, the other is how to get a report with page visits, users, time spent on page, bounce rate, etc. Maybe a third is about filters.
Comparing stats in two different periods
In the date selection, there is a "Compare to" checkbox, check that and select the periods that you want to compare, like so (I'm comparing 2017 to 2016):
Creating a custom report
Here's a guide on how to get the dimensions and metrics that you want. In your case, I would select the "Page" dimension and select the metrics that you want to include (avg. time on page, pageviews, users, bounce rate, etc). Make sure the report type is "Explorer"
After you finish creating the report, you'll see a list of all the pages on your site with the metrics you've selected. Click on the "advanced" link beside the "search" to do some advanced filtering. Add a "Matchin RegExp" filter like so (the "|" means Or):
When you apply the filter, you should see only those two product pages listed, if not, look at your regex to make sure they're specific enough. Here is a quickstart if you're not familiar.
When you have done that, use the "compare to" period to select the periods you want to compare.
Then when you're done, there should be checkboxes beside the product pages you want to compare, check those and click on "Plot Rows" at the top and you should see the two pages plotted in the graph above as well.

Google Analytics how to get metric for 'number of active users on website at any one time'

In Google analytics how can i get a metric to put "number of active users on website at any one time". I want to put it against past date periods.
I.E I was scrolling through the metrics, trying to add a widget to my dashboard but, I can't find this metric!
It looks like it's possible because google analytics uses it on their standard report, real-time, "current active visitors on website"
How can I achieve this?
Simply, you can't out of the box. There are some limitations in real-time reports and the ways GA counts unique visitors.
However, if you do not need a detailed analysis, this custom report might do the work (just import it for your Analytics Profile/View and click Customization tab). It basically shows the generic numbers (you can change them to fit your needs) according to hour of a day.
Add any secondary metrics to find out how numbers change in days/weekends etc. Or you can slice the data with segments and see if some traffic is more active in the morning etc.
Hope hits helps.
PS: Beware of data sampling...

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