When Instagram was first introduced, its “photos are worth a lot” tag was a controversial one. Today, the tag is being debated, and some people are calling for it to be removed.
Ars Technic’s Sarah Hagen explains why, in the context of Instagram’s current “photos” model.
A lot of people think that “photos,” as a tag, is a good idea.
People have a very limited understanding of how to measure the quality of photos.
For example, if you take a photo of a person on a subway and put the caption “this person is gorgeous” in a caption, the person may or may not be beautiful.
You might be wrong, and people will often make assumptions based on that.
But this is an imperfect way of measuring the quality and relevance of a photo.
For that reason, “photos as a unit” was created.
But, as we discussed at length in our review of Instagram, there are plenty of ways to measure quality of a photograph, and “photos per second” is one of them.
“photos / s” will still show you the amount of time it took to take the photo, but it’s a little less useful for measuring the actual quality of that photo.
The “photos in seconds” tag is a more useful tool.
You can also use the “photos:per second” metric.
That metric measures the amount time that the photo took to load in Instagram, or in a certain way, how much of the photo is “live.”
It’s also worth noting that this metric is currently limited to Instagram’s live photos.
It does not include the posts and comments that happen while the photo was being taken.
One way of using the metric is to compare it to the time it takes for an image to be “saved” in Photoshop.
That’s a more accurate metric.
If you look at an image on your phone and zoom in, you can see that there are more edits than “s”saves.
But it’s also important to note that if you zoom out, you don’t see the whole photo.
Instead, you see the “saves” portion, which you can use to measure how much time it’s taking for the photo to load into Photoshop.
This is a useful way to compare two photos, but not to measure their quality.
There are many ways to use this metric, but for the purposes of this post, we’ll stick with “photos, per second, as a function of time.”
So how does the “per second metric work?
This metric will only be useful for images that are being taken on Instagram, but we’ll still look at it to help measure the overall quality of an image.
To start, we can look at the average time it’ll take an image “live” on Instagram.
That means we’re looking at the time that it takes an image from the photo app’s server to be uploaded to the Instagram website.
As you can imagine, this is a lot of time, and it’s something we’re used to seeing.
We’ve all heard that Instagram users are a lot less active on the service than we’d like to believe.
To make the service work better for them, the service created an API that allows users to rate their photos in various ways.
The higher the rating, the better the quality, and the lower the rating the less useful the image is.
So to figure out how well an image is doing at loading time, we look at that rating.
This can be a very useful tool, but the real power of the metric comes when we look to look at “live,” or the time a photo actually loads in Instagram.
The higher the number, the more important that time is.
That way, we’re able to compare how much more valuable an image really is to the rest of the Instagram community, because that time has been spent on loading it into Instagram.
When you zoom in on a photo on Instagram that’s loading in a lot more quickly than the one you’re looking from, that time isn’t spent loading in the photo’s own server, it’s spent loading the photos on the site.
That’s the real difference between an average user rating and an average Instagram user rating.
We can also compare the average user to an average photographer rating.
A photo is usually rated by the most active Instagram users.
We’ll look at this next.
What we want to do is compare a photo to a photo from a photo-sharing site like Instagram, and compare that rating to the user rating for that photo in a way that makes it easier to judge quality.
We can do this with a simple test: how many times does it take an average person to take a single photo?
To do this, we start with the average “live-rating” for the user, and we compare that to the average Instagram rating.
If we compare the user to a person who takes photos every day, that person is going to have much lower ratings than someone who takes