Well, we're discussing a post that looks at a bunch of moderate-quality evidence in this area. Unfortunately, no one had the foresight to realize that attention span measures would be very important for us to have high quality control evidence before 2000.

So we have some moderate quality measures that say that attention span has become lower over time. And we have higher quality measures that show that low attention span is correlated to consuming short-form video. For example, https://www.mdpi.com/1660-4601/18/16/8820

> our attention mechanism is so flawed it can be broken so easily.

In my opinion, our attention mechanism is very weak compared to the demands of academic study and modern knowledge work.

> In my opinion, our attention mechanism is very weak compared to the demands of academic study and modern knowledge work.

Or it could be that academic study and modern knowledge work is just severaly outdated in their data delivery methods compared to contemporary techniques used in tools that "cause attention span issues" like Tiktok.

Maybe the UX of a traditional science paper has to be reviewed instead of trying to fault the end user for not torturing themselves trying to ingest something that has UX from half a century ago.

To me the issue seems pretty clear. We got new information delivery methods that are significantly better and when going back to old methods we naturally get unsatisfied. Does that mean we are getting "dumber" as "attention deficit" memes imply or that certain fields are just failing to catch up?

We can simply accept that ingesting old data types will be more difficult for the new generations or update them to match new expectations. Either way this sounds like whole lot of nothing for most of us.

> Or it could be that academic study and modern knowledge work is just severaly outdated in their data delivery methods compared to contemporary techniques used in tools that "cause attention span issues" like Tiktok.

Some things take time. You don't perfect a painting technique, explore a family of variations in a musical theme, analyze a complicated social issue, or solve non-trivial equations in a 25 second slice.

The students that I'm talking about-- they can ask their peer a question that they're interested in learning the answer to, and then have their attention wander and lose state in the time it takes their friend to finish chewing. This used to be pretty rare; now it's distressingly common.

I'm all for multi-modality and different ways to present information. But most people need to develop the skills to show up and think deeply for >20 minute spans.

That's a very good point. I guess the real new problem here is learning to identify and manage different types of discussions and information exchange formats which can be challenging but totally solvable issue imo once people start working on it instead of pointing fingers and fear mongering.

> We got new information delivery methods that are significantly better and when going back to old methods we naturally get unsatisfied. Does that mean we are getting "dumber" as "attention deficit" memes imply or that certain fields are just failing to catch up?

the new delivery methods are not significantly better at delivering knowledge, but at diverting attention. They are engineered for that outcome, not for the information retention ability after a significant amount of time, or even for the comprehension of that information. So yes, as a result, the society is getting dumber, because our intellectual resources are rerouted to futile bits of nothingness.

Hard disagree with you. New methods are objectively better. One obvious illustration is that online books/websites are better than paper books at information delivery and teaching people in general. The "society is degrading" meme is as old as time itself and frankly it's getting a bit boring.

Most of yt and tiktok are a regression against both books and websites.

What kind of knowledge are all you getting from Tiktok? Technical knowledge? Philosophical? I thought the app was for lip syncing + lazy cheerleading and the occasional Chinese data mining. But I am perfectly happy hopping on the bandwagon if it has substance!

It's a totally under rated platform imo - there are a lot of high quality creators!

In particular I'm following UX (@designertom), CX and design channels as I'm still transitioning from backend to full stack development. Tech news, Producthunt-like content (especially in bleed edge areas like AI), art stuff, technical gardening (@transformativeadventures), science stuff (@hankgreen) and health/workout (@dr_idz).

The initial problem with tiktok is that you need quite a bit of time to train the algorithm to actually give you the stuff you want as the search and other discovery areas are really bad on purpose.

Also worth noting that Tiktok now supports long form content so some video can get pretty long. The player also has 2x video speed and good seeker so it's easy to roll through a lot of information very efficently!

I just use all the various sites as tools, instead of having loyalty anywhere. Search for something you're interested in and see what shows up. YouTube is definitely no longer the central repository of everything that it once was. A good way to demonstrate the average difference between YouTube and TikTok is to show the same video from the same guy, but optimized for different platforms. This is a video on deadlift form (in weight training):

TikTok - https://www.tiktok.com/@jeremyethier/video/71989368081330209...

YouTube - https://www.youtube.com/watch?v=XxWcirHIwVo

No idea what the deal is, but I'm guessing the YouTube algorithm is optimized for longer form videos so a lot of stuff ends up with just a lot of filler. The TikTok video is everything in the YouTube video, but with all the fluff removed. I've also used TikTok for foreign language lessons with excellent results, largely for the same reason. The videos tend to have a lot better information density than what YouTube optimizes for.

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Also, just watching that YouTube version again. Perhaps one of the best things is no more "If you like this video be sure to like, subscribe, and comment below. It really helps the channel out." An algorithm that relies on such a stupid, gameable, opt-in metric is always going to be inherently dysfunctional.

Great links! Thank you for this comparison. I am a huge fan of spreading content across platforms as to avoid a monolith. I will be looking in to this Tiktok. And I truly cannot stand the "smash the like" whatever every. single. damn. video.

The “meta game” of optimal length on YouTube has been shifting towards longer videos for quite a while - one of the more important metrics towards monetising is “watch hours”. So you get a lot of filler.

YouTube also has shorts, which it measures somewhat differently (as views as opposed to watch hours).

What are these shorts? It looks like common video that is very narrow vertically.

I've come across lots of DIY tips, knots that I can now tie and Photoshop techniques. The algo now knows that I'll watch these.

I use it to figure out AI image techniques. Basically the theory is in papers, the nearly accepted stuff is in blogs, but the people on cutting edge are in youtube and tiktok trying 100 things before they can post 1