Quoting: chickenb00This in-home streaming bugginess has really been crappy for my Deck useage. Either the video freezes entirely, with sound and input continuing, or, I get a green screen error. I tried out the Beta fix but I prefer being on Stable channel. I should really just install Moonlight...

I don't get that. There was the dead sound issue that had hung around for years on Linux and eventually got fixed after the Deck had been out a year, but then with the recent stable update after the OLED released the stream is just way too dark on the Deck. Apparently there's a fix in preview, and disabling hardware decoding acts as a workaround. I don't use streaming that much (in-between breakages, obviously) because it needs to be a specific middle ground game where I'd prefer the performance of the desktop but not the spectacle of the big screen. Outside of that middle I'm either playing directly on the Deck or playing directly on the desktop. But it would be nice if it worked.

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Quoting: pytrysI think the number of reviews deosnt say anything.

https://newsletter.gamediscover.co/p/what-steam-review-count-tells-us

The particular demographics of the Apple Arcade compared to Steam, how easy it is to write a review, and how encouraged it is to write a review, will all affect the specific ratio of reviews to sales, but it's extremely likely that there is a ratio even if we don't know exactly what it is.

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I finished Beyond A Steel Sky and then it's been a whole lot of Art Of Rally.

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I'm hoping that the fix for in-home streaming gets promoted to stable, and they've sorted out the display quality issues, before I get my OLED model soon.

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Quoting: EikeI guess we found the misunderstanding. Of course, I wouldn't extrapolate this into the future. Nobody forces us to do that.

That is literally the whole point of matching a data set to a curve.

QuoteAs said and shown - not for like half of the curve.


The trend has changed, can we agree on that?

No, we cannot. The trend has always been positive. The gradient is steeper now than it was in the past, but that is not a change in trend.

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Quoting: EikeI don't want to predict, nor did I say so.

That's what fitting the data to a curve is.

QuoteI want to describe what has happened.

That's what the trend line does.

Which you already know because of your super statistical analysis skills, obviously.

Should you wish to examine the positive trend line for any range of the data, you already can. Slapping an arbitrary curve onto the data is pure fappery.

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Quoting: EikeI'm open to learning.

No, you aren't. You just don't like being told that your chuffing stupid idea is chuffing stupid.

You can fit those data points to an exponential curve. You can fit those points to a polynomial curve. You can fit those points to a sinusoidal curve. Absolutely none of those curves provide a model that has any predictive power to define the relationship between the date and what proportion of Steam users will be sampled using Linux, nor the proportion that would be sampled using Mac or Windows. It's just pointless fappery.

The trend is upwards, just like it's upwards for Windows and downwards for Mac. As shown by the trend line.

Were your statistical analysis skills as great as you claim, you would already know all of this; which would make suggesting such fappery even more chuffing stupid.

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Quoting: EikeIn my humble opinion, everybody with a bit of a mathematical heart should feel their toe nails roll up on the graphics.

It's a shame that you don't understand the concept of a trend line, but I'm not your statistics teacher.

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Quoting: EikeWhy do you think so?

Because it is.

As to why it is worse, fitting a curve is explicitly enforcing a particular model on the data. There is no model here; it is simply a record of sampled users over time. Curve-fitting would be wildly inappropriate.

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Quoting: HighballI'm fine with the way it is. But it would be interesting to see a graph that sort of starts when the Steam Deck was released.

You can already do that. Liam's graph lets you pick any start or end point from the dataset.

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