this looks like youtube kids from youtube itself, what are the differences between the two? I use youtube kids for my own kids on our iPads, which works somewhat fine, a bit clunky to add channels and to use it for offline watching though.
I’m going to go out on a limb and assume OP is similar to all of my friends and missed the fact you can manually curate yt kids? Yt kids is also odd because you need to be signed in as the parent and the kids account isn’t its own independent account.
Perhaps this solves the fatal flaw that your kid has to have your google account signed into their tablet to watch yt kids. I got my child their own tablet, created a child Google account, signed into the Android tablet with it, and then I was unable to restrict what they watched. Best I could do was the young child algorithm, but there’s still so much trash.
I found this extension that makes it even easier, and you can configure it to go to either old.reddit.com or new.reddit.com (instead of going to 3rd generation even worse sh.reddit.com) without having to configure Redirector:
https://chromewebstore.google.com/detail/ui-changer-for-redd...
This is probably whats going to happen everywhere, Google will be even more dominant in adtech with 3rd party cookie removal. Everyone moving to 1st party advertising (SERP, Youtube ads), display ads are race to the bottom without targeting..
I just tried all the examples you gave (on my M1 Max) except Skype which I don't have installed here, they all load in 1 second or faster, maybe its something else on your Mac?
What I wonder, after reading this, is what happens with all that snow that is accumulating and causing all the buildings to be burried? Is the South Pole slowly rising? Or is snow at the bottom somehow dissipating?
It accumulates on top, turns into ice, but the bottom layers of the ice very gradually flow (tenth of thousandth of years) toward the see. Modeling that precisely is hard and we do not know if Antarctic as the whole gains ice or looses it.
My current understanding of the numbers is that the East Antarctic Ice Sheet (which includes the South Pole) is in positive ice mass balance, while the West Antarctic Ice Sheet is losing ice mass and is in or near a complete collapse scenario. It seems that the eastern sheet isn't gaining enough mass to offset the loss of the western sheet, but every study seems to contradict the previous study so... :shrug:
In short: they become glaciers. The snow gets compacted into ice, which then slowly moves as a glacier (motion is highest at the base, I think) until it eventually reaches the glacial margin.
I think most people (including me) are looking for how it works to check if it really is (somewhat) GDPR compliant, so for example you want to know if data is stored in aggregate or also individual data (which would fall under GDPR), if individual users are tracked with some kind of identifier, how fast the identifier is deleted, if its stored in disk or only in memory, who can access the identifier, is the identifier pseudonized etc.
I'm happy to answer any question about what data is acquired and how it is acquired. I cannot answer every question about how my system processes the data. I built a novel algorithm that represents economic leverage.
Each hit is stored without personal data but including a salted hash representing the IP. Users are not tracked and are not assigned any type of individual identifier.
OK, that's what I was looking for. Storing hits with any kind of identifier is considered processing of personal data under GDPR. It doesn't matter whether you have assigned the identifier or whether you use one that the user already has (IP, device ID etc). Hashing / salting the identifier does not change that if it's still unique.
The way to make it compliant is to ask permission for using the data. Or doing your analysis without any user identifiers, but that doesn't get you much useful insights.
To be clear, I need to count unique visits without using a salted IP address even when it cannot be attributed to an individual or used to track them across multiple websites?
I do have an idea that might work for this scenario. If I can calculate unique visits differently, I can drop the salted hash from the database too. I'm guessing that should be sufficient to satisfy most privacy conscious users.
I think it's fairly fundamental; to see if a visitor has accessed one page, and later on another page, you need to track that visitor somehow. So you need some kind of identifier. Even using an IP address (hashed or not) or assigning a random ID all falls under GDPR regulation. Alternative 'tricks' like link decoration could work maybe but you have to rewrite all URLs, which is very error prone. Creating cnames for every customer is another option, called cname cloaking, but it has other drawbacks and it's probably also not GDPR compliant.
Would definitely be interesting if there is a solution for this problem, as I agree that there are very valid usecases for attribution, but its very hard to do as (very limited) tracking is almost mandatory to do this.
You could work 'around' legislations by checking where a visitor comes from and track (only) in those regions where its allowed, and in other areas ask for permission? You will miss visitors, but you can extrapolate counters to compensate potentially.
Cool, not sure how you did that of course, you should probably if you want to grow this do an external code audit or something like that, but great job, also how fast you change stuff!
Thanks! The core code (capture and post-processing) sits around 250 lines. It's short enough to retain which makes iterating quick and fairly painless.
Considering I'm about 2-months in, I'm happy with the progress and general direction.
Was confused about this as well; attribution is a term used by marketer for attributing revenue to channel and campaigns (cost), so you might want to make it clear that this is really about single website attribution. Is it single session attribution or can you measure if a user enter the website and convert a few days later?
Point noted. I'll be careful with my language. Thanks for reiterating.
This system is focused on the source of the hit and the page views that led to the conversion. It could be used to measure organic search ROI for individual content pages. You could justify content spend based on performance data and plan future content based on past returns. I find this use case particularly interesting.
It is capable of multi-session attribution. From a product perspective, the tradeoff is timeframe for efficiency. The longer the historical perspective, the more costly feature becomes. This represents a current personal debate about tradeoffs.
You will probably quickly run into asks from customers about 'attribution modelling' concepts and multi touch attribution, you now probably created first touch attribution?
I'm currently showing first touch but can add a section that depicts last touch too. It's just a question of presentation. It would take ~15 minutes to make the change.
Edit: Took 25 minutes but I pushed an update to the example report to highlight this point.
Nice! There are quite a few other ways that advanced marketers want to analyze this if you google for attribution modelling, but first and last touch is already a great start
The data subject shall have the right to receive the personal data concerning him or her, which he or she has provided to a controller, in a structured, commonly used and machine-readable format and have the right to transmit those data to another controller without hindrance from the controller to which the personal data have been provided
