What Killed Innovation?

https://www.shirleywu.studio/notebook/2025-02-innovation-killer

by speckx • 1 year ago

127 112 1 year ago

Avshalom• 1 year ago

Unremarked is that while those examples are visually impressive, they're also unhelpful.

rqtwteye• 1 year ago

Exactly. I see a lot of graphs and animations that look cool but when you take a closer look, they convey not much information .

Gormo4• 1 year ago

Every example in the article suffers from excessive visual complexity and a lack of clarity as to what's being quantified and how values relate to each other.

The best one is the "four ways to slice the budget" visualization, but even that would just have been better as four separate, straightforward charts.

I guess what killed innovation in data visualization is that the innovations were hindering, rather than helping, to accomplish the purpose of building data visualizations.

findthewords• 1 year ago

Low interest rates.

0xbadcafebee2• 1 year ago

Innovation is never constantly increasing. It usually appears in bursts, and stops around the point that humans don't need it as much, or development hits a ceiling of effort. But it's always slowly simmering. Usually it's research or yak-shaving that, after years, suddenly appears as if out of nowhere as a useful product.

I am hopeful that in my lifetime, the web will die. It's such an insanely stupid application platform. An OS on an OS, in a document reader (which, due to humans' ability to go to any lengths to avoid hard work, literally all new network protocols have to be built on top of).

You want cool visualizations? Maybe don't lock yourself into using a goddamn networked document viewer. Native apps can do literally anything. But here we are, the most advanced lifeforms on the planet, trapped in a cage of our own making.

mjevans3• 1 year ago

In HN spirit / guidelines, I'm going to presume the best.

Did you mean: "the web (as an application platform) will die" / once again swing back from mainframe / thin client to powerful local computing platforms?

In the spirit of empowering the user, I too hope the average user once again owns their destiny, the storage, computation, and control of their data. Though I think the web as a publishing media does empower that user if there are open platforms that promote the ability to choose any fulfillment partner they desire.

billyp-rva• 1 year ago

Native apps can do literally anything.

That's just as much a downside as an upside. You're putting a lot of trust in a native app that you aren't putting in a website.

nullpoint4202• 1 year ago

What about sandboxed native apps? If the browser can do it, why can't native apps do it as well?

treyd• 1 year ago

We have sandboxing technology on every modern operating system.

fumar• 1 year ago

I am exploring an alternative browser-like platform concept that would allow for near native performance. However established web protocols are hard to overcome.

pphysch• 1 year ago

Stagnation in viz design has pretty much nothing to do with the shrinking native<->web capability gap, and the web is here to stay.

feoren• 1 year ago

An OS on an OS, in a document reader

Versus an interpreted language executed in a runtime running on a virtual thread of an OS running on top of a BIOS over a glorified calculator!? Insanity! Whatever happened to good old-fashioned pen and paper!?

There's nothing wrong with the model of delivering your software as a small program to run in a sandboxed browser environment. WASM, canvas, WebGL -- you can do nearly as much on the web as native nowadays, with a dead-simple deployment model. One of the only type of programs that's much harder to make in a web application is malware. Calling a modern browser a "networked document reader" is as silly as calling a modern computer a calculator.

collingreen• 1 year ago

The DOM seems fair to call a networked document reader. You've suggested a different build target for what would have been native apps - I think you and OP meet in the middle a bit; you get the power of non-html app development. OP laments the overhead of having to shove that into the existing web model designed for documents; you appreciate the sandboxing.

I think you have similar opinions that mostly overlap, regardless of insults about statements being silly.

dullcrisp• 1 year ago

You’re assuming that teaching fleshy monkeys to smear their gunk on glorified bathroom tissue was ever a good idea.

slt2021• 1 year ago

>Native apps can do literally anything

like hack your banking account or steal your password...

ericmcer• 1 year ago

The web is just a convention that gained rapid adoption so now browsers dominate software. As far as conventions go, it is not bad compared to some of the stuff humans have landed on. Better than paving over everything so we can drive and park cars all over, better than everything being single use and disposable. Web has it's ups and downs but it is decent based on our track record.

ryandrake3• 1 year ago

I am hopeful that in my lifetime, the web will die.

I'd like to see the www go back to its roots as a way to share and browse documents, hyperlinked together. The web worked when it was just documents to render and click on links. It is terrible as an application platform.

It's been 30 years since JavaScript was invented. Imagine what we'd have today, if instead of making the WWW into this half-assed application platform, those 30 years of collective brainpower were instead spent on making a great cross-platform native application development and delivery system!

scarface_744• 1 year ago

Native for Windows, Macs, Linux, iPhones and Android devices?

Now imagine trying to update all of those native apps across a large enterprise or multiple large enterprises.

Since I do use multiple devices, when everything is on the web, you also don’t have to worry about syncing or conflict resolution like you do with semi connected scenarios.

MaxBarraclough• 1 year ago

We have JavaFX and Qt, and they're both better than ever, but they don't see much use. With JavaFX you can build and distribute a portable .jar file, and I think it can be used with JNLP/Java Web Start for distribution if you prefer that approach. With Qt, you're likely to be delivering self-contained native application packages in the target platform's native form.

(JavaFX has been carved out of the core JVM, which is annoying, but if the target machine has a JVM installed that bundles JavaFX, you're all set.)

sunrunner• 1 year ago

The web as it was originally conceived - readable (but not interactive) content with linked resources - feels a far cry from the web of today, a platform for interactive applications that seems to grow asymptotically towards feature-parity with native applications (UI, input handling, data processing, hardware access) while never quite getting there, encompassing the fundamental things that make 'applications' work.

If the modern web _did_ reach feature parity in some way the real question would then be 'What makes it different?'. As linked resources doesn't seem like a particularly strong unique feature today the only other things I can think of are the simpler cross-platform experience and the ease of distribution.

So then the questions are 'What would make for a better cross-platform development experience?' (Chromium embedded framework not included) and 'How do we make app distribution seamless?' Is it feasible or sensible to have users expect to access every application just by visiting a named page and getting the latest version blasted at their browser?

And I guess that's how we got Chrome OS.

pjmlp2• 1 year ago

Same here, although most of my UI work is on the Web nowadays, I miss the days when the browser was only for hypertext documents, and everything else was done natively with networking protocols, and standards.

Hence why my hobby coding has nothing to do with Web technologies, Web pays the bills, other stuff is for fun.

LikeBeans• 1 year ago

MBAs and MVP (Minimum Viable Product)

officialchicken• 1 year ago

No doubt due to structural tax changes that changed R&D into OpEx

Zigurd• 1 year ago

The question I always ask clients is "What's your hypothesis for this being viable?" Many are shocked that the 'V' part exists.

vinyl7• 1 year ago

Quarterly profit over long term growth

fullshark2• 1 year ago

The economics don't support innovative web visualizations, a slight engagement boost for a day is the return on investment. If you're lucky it goes viral on social media, but there's far cheaper ways to accomplish that (e.g. inflammatory rhetoric).

kappasan• 1 year ago

Perhaps it's just that data visualization has simply matured, and the field has converged on a narrow set of designs that are proven to work? The earlier, "experimental" examples given by the author are indeed beautiful, but I'm not really sure all the fancy animations help me grasp the underlying data.

chiffre01• 1 year ago

This basically sums it up:

“Some information will always be best conveyed in a straightforward bar or line chart, particularly for audiences that don’t have time to engage deeply"

jeffreyrogers• 1 year ago

When a new technology comes along no one knows what ideas are good and what ideas are bad, so people try a bunch of things and most of them aren't very useful and the few that are become standardized. In the case of UX stuff like visualizations users also learn the grammar of the technology and get used to seeing things done in certain ways, which makes it harder to do things differently.

So basically there's less innovation in data visualization because we mostly figured out how to solve our data visualization problems. If you look at the history of printed visualizations I think you'd find a similar pattern. The only somewhat recent innovation I can think of there is the violin plot, which became possible due to advances in statistics that led to probability distributions becoming more important.

kusokurae• 1 year ago

My irrational side really laments where many parts of modern life are in this process and how...standardised things have become. When I look at e.g. old camera designs, they are so much more exciting to see evolve, and offer so many cool variations on "box with a hole and a light sensitive surface in it". Seeing how they experimented and worked out different ways to make an image-making machine with that requirement, I feel like I'm missing out on a period of discovery and interesting development that now is at a well-optimised but comparatively homogenous dead end.

ARandumGuy2• 1 year ago

Sometimes something is a "solved" problem. There hasn't been a lot of innovation in say, firearms, because we pretty much figured out the best way to make a gun ~100 years ago and there isn't much to improve.

Not everything needs innovation, and trying to innovate anyway just creates a solution in search of a problem.

garciasn3• 1 year ago

They said the same thing about hash tables. Innovation from a single individual blew away (no pun intended) all prior expectations and opened an entirely new baseline understanding of this.

Just because we THINK we’ve solved the problem doesn’t mean coming at it from an entirely different angle and redefining the entire paradigm won’t pay dividends.

damnitbuilds2• 1 year ago

Correct title: What Killed Innovation in the Pretty Diagram field?

I keep seeing books with interesting titles like "The evolution of clothing" and then see a subtitle like "In Wisconsin. Between 1985 and 1986."

badc0ffee• 1 year ago

"From jean vests to jean jackets"

praptak• 1 year ago

Even a small amount of data literacy makes you aware that visualizations can deceive. Pie charts make humans overestimate large percentages, nonzero axis is borderline fraud, choice of colors can totally warp color scales.

I think that in this context it is expected for data literacy to make people suspicious of complex visualizations.

garciasn3• 1 year ago

Data literacy should come down to the data itself, not only the visualization of those data. Sure pie charts are the bane of Tufte’s existence but even the best data visualizations of a particular segment of data can be misleading due to misrepresentation of the data underneath from collection to its analysis.

People should be far more skeptical of what they are fed. Data narratives are often misleading with manipulation of the data, its aggregation, visualization, and especially the interpretation within context. Data literacy needs to address all of these, not simply the how it’s visualized; that’s simply the final step in the entire data and information lifecycle.

I’m not saying “do your own research;” instead, folks should think critically about what they’re seeing and attempt to understand what’s presented and put it inside the appropriate context before taking anything at face value that they’re shown, by any organization.

e: just formatting

Analemma_• 1 year ago

nonzero axis is borderline fraud

This is an outrageously reductive meme that has long outstripped its actual usefulness and needs to die. The axis and scale should represent the useful range of values. For example, if your body temperature in Fahrenheit moves more than 5 degrees in either direction, you're having a medical emergency, but on a graph that starts from zero, this would barely be visible. Plotting body temperature from zero would conceal much more than it reveals, which is the opposite of what dataviz is supposed to do.

matkoniecz• 1 year ago

this is a very rare case where nonzero axis is justifiable

nevertheless >99% of cases where I am encountering nonzero axis it is misleading

The axis and scale should represent the useful range of values

this should not be confused for "range of values present in data"

often actually useful visualization would show that value barely changed - but it makes for more truthful and boring news, so is avoided

teddyh• 1 year ago

The only reasonable zero-value for temperature is 0K, which unfortunately leads to unreadable graphs. (All other temperature scales are completely arbitrary.) So for the specific case of temperatures, it is in fact completely reasonable to have a nonzero axis. But most graphs are not temperatures.

roenxi• 1 year ago

Pie charts are just as unreadable for medium and small percentages. They encode values as angles. Human perception is not suited to estimating angles relative to each other.

WaitWaitWha2• 1 year ago

I have to make presentations on my teams status to boards and alike.

No matter how cool solution my team uses and presents, it will be rejected.

It will be rejected, because only static reports in two forms are accepted by the readers - PowerPoint slides or a PDF.

I would love to get away from pie charts, line, and bar graphs. Alas, I am mostly stuck in this.

Any suggestions? I have to show present and over time things.

edflsafoiewq• 1 year ago

I would love to get away from pie charts, line, and bar graphs.

Why?

WaitWaitWha2• 1 year ago

Aesthetics - boring, flat, blah.

Burn out - most will pass right over it, spend 10 minutes asking about the details, despite the answers in the chart.

adamnemecek• 1 year ago

Jack Welch.

geye1234• 1 year ago

Great answer. One of the most destructive people of the 20th Century.

hagbard_c• 1 year ago

Maturation killed what is considered innovation in this article. Many if not most of the visually impressive but didactically confusing innovations fell by the wayside. We're currently in a new wave of 'innovation' with LLM-generated summaries and 'helpful' suggestions being added here there and everywhere. Most of those will disappear as well once t becomes clear they do not add real value or once terminal devices - browsers etc - have such functionality built-in using locally executed models which are trained on user preferences (which will be extremely enticing targets for data harvesting so they better be well-protected against intruders).

qoez• 1 year ago

There was probably a core of 50 people mainly responsible for these (with hundreds of thousands in awed aspiration/inspiration) who've since retired or moved on to other interests or got distracted by politics in the meantime after 2016, or any other similar reason. It was probably Mike Bostock's departure from the scene in 2017 that was the core catalyst.

janalsncm• 1 year ago

Innovation in data visualization? From a purely utilitarian view, the purpose of data visualization is to present data in a way people can understand it. If you’re constantly changing the method of visualizing the same thing it’s harder to do that. Sometimes a bar chart is best.

As far as cool visualizations go (that are better served as nonstandard visualizations) there are two recent ones that come to mind:

https://youtu.be/TkwXa7Cvfr8 (Especially around 16:56)

https://bbycroft.net/llm

marginalia_nu• 1 year ago

I'd also argue that even if all else is equal, a flashy visualization is worse than a conventional one, as you generally do not want to draw attention to the presentation if your aim is to convey information.

datadrivenangel• 1 year ago

Fun counterpoint is that a flashier visualization may be 'better' than once optimized for accurate and efficient information conveyance IF it causes people to spend more time on the visualization. A flashy infographic conveys information less efficiently than a good chart, but if it causes people to engage with it more you may end up communicating your information to more people.

borgdefenser• 1 year ago

I love data visualization but it very much reminds me of shred guitar playing, something I also use to very much love.

What non-guitar players are complaining about the lack of innovation in shred guitar playing? It is just not something that non-guitar players really care much about. Good shred vs bad shred is all going to sound the same to the non-guitarist anyway.

NooneAtAll3• 1 year ago

I thought the youtube link would be this https://www.youtube.com/watch?v=SwIyd_gsGWA

smrtinsert• 1 year ago

I don't have time for cool or innovative visualization. Show the bar chart, give me higher or lower is better.

Gormo4• 1 year ago

It's strange to expect continuous innovation in anything where outputs are measurable against clear, stable targets. Once you've achieved the target, what further effort is necessary?

It's like asking what killed innovation in the shape of wheels. The answer is that we're able to make nearly perfect circular wheels, and there is no more optimal shape for a wheel than a circle, so no further gains for new innovations to capture.

ralferoo2• 1 year ago

Just looking at that "512 paths to the white house graphic", and I'd argue that it's more confusing than useful. Why is Florida at the top? Consider the point where it's "Obama has 255 ways" and "Romney has 1 way". What's the point of the massive arrow to Florida and then taking a very specific route to success? This would only make sense if there is a pre-determined order in which the results must come.

The way it's been done in the past in the UK, for instance, is "A needs X more seats to win, B needs Y more seats to win, Z more seats remain". Simple, clear, and no flashy graphics required.

I know the situation in the US is a bit more complicated with different numbers of representatives per state, but it's still not especially useful to prioritise one state over another in the graphic, because what's important is the relative difference between the totals so far received.

I get that there could be some more presentation towards uncalled results and the expected outcome, but it doesn't look like that graph gives that, which would be far more useful than this thing with arrows.

phendrenad2• 1 year ago

The US news covers the US elections from a really strange angle. They act as though even as the votes are coming in, and there is nothing more the candidates can do to change the outcome, that they are still "looking for a path to victory" and they list all of the "paths to victory" that could be possible. As though we're watching them stumble through a dark forest.

lxgr2• 1 year ago

I had the exact same thought here: https://news.ycombinator.com/item?id=43473149

Really bewildering from an epistemic point of view, even if it's "just a metaphor". (And do people really generally understand it to be just that?)

LegionMammal9782• 1 year ago

Why is Florida at the top?

As you mention, the number of electors per state varies by quite a bit. E.g., in the 2012 election covered by the chart, Florida had 29 electors, Ohio had 18 electors, and North Carolina had 15 electors, which is why those three states appear at the top.

The main important effect is that (with only some small exceptions) if a candidate wins a simple majority of the votes in a state, then they receive all of that state's electors. E.g., if a candidate wins 50.01% of the Florida vote, they get 29 electors, but if they win 49.99% of the vote, they get 0 electors. See: the 2000 election, where the overall outcome depended on a few hundred votes in this way.

This means there's a lot of focus on 'flipping' states one way or the other, since their electoral votes all come in blocks. What the chart is showing is that if Romney won Florida, he could afford to lose a few other contested states and still win the national election. But if Obama won Florida (as he in fact did), then Romney would need every other state to go his way (very unlikely!) if he still wanted to have a chance.

That is to say, Florida really was extremely important, given the structure of U.S. presidential elections: it would make or break a candidate's whole campaign, regardless of what happened in the rest of the country. And similarly, the remaining states are ordered by decreasing importance.

Of course, while results are being counted, you also see simpler diagrams of the current situation. The classic format is a map of the country with each state colored red or blue depending on which way it flips. This is often accompanied by a horizonal line with a red bar growing from one side, a blue bar growing from the other side, and a line in the middle. But people are interested in which states are more important than others, which creates the imagery of 'paths to win'.

ralferoo2• 1 year ago

Except, in the extreme example I cited from the article: "Obama has 255 ways" and "Romney has 1 way"

At that point, Romney had to win every remaining state to win. Florida was no more important than any other state that still hadn't declared a result. Whatever one came next would determine the result.

I'd also argue that the point you're making is obscured by this image. There's no way of determining from that image how many electors each state contributes, just lots of arrows and a red/blue outcome. IMHO, how it was actually shown on news programs today is much clearer than what the article is proposing.

disambiguation• 1 year ago

The wave of innovation starts with "ooh shiny new thing" and ends with camps of made up minds. In the case of data visualization, you have the no frills analyzers in one camp who only see visuals as distractions at best and sleight of hand at worst, and short attention span info-tainment consumers in the other camp that are not only easy to please but may even find your overly elaborate data driven stories annoying. What remains is a vanishingly small venn diagram of data-savvy readers and practitioners.

__MatrixMan__• 1 year ago

The loss of function in favor of form. Examples include needlessly complex data visualizations and vague clickbaity titles.

lxgr2• 1 year ago

Is it just me, or is this "paths to victory" metaphor for presidential elections commonly used by US media a pretty strange way to "narrate" an election outcome, all things considered?

The outcome is effectively fixed, although unknown, once the last polling stations close, so what's with all the evocations of physical phenomena ("blue wall", "battleground states" etc.) when everything that's still happening is a gradual discovery of a completely determined outcome?

fullshark2• 1 year ago

It's a way to make sense of chaos and generate a narrative to follow, also how millions of individual votes get reduced into large scale trends (gen alpha men want X, Boomer women living in suburbs want Y, etc).

People are invested in the outcome and want to know if things are headed in the direction they desire.

damnitbuilds2• 1 year ago

I think the parent is trying to point out that it's not "are headed", it's "were decided, over 5 hours ago".

Ragnarork• 1 year ago

I'm not sure about this. Why do we constantly need new ways of presenting data?

My main concern is that eventually it becomes easy to read and interpret data, especially for people that are not used to it, that are less data- or science-savvy in a way. That it's accessible.

It's good to try to find better ways to present certain cases, but also it's only needed as far as it's useful, and otherwise I feel consistency is way better instead of keeping churning out new ways to look at it that require an effort on the consumer part (no matter how beautiful / well presented this is) to figure out what they want to know out of it.

Innovation for the sake of usefulness is good. Innovation for the sake of innovation feels... definitely not as good (although I wouldn't discard it completely).

nine_k• 1 year ago

Have we already achieved the absolute optimal ways to visualize data? Maybe in some simple cases, yes, but not necessarily in all practical cases.

Should new and better ways to visualize data look drastically different from what we're used to? Maybe, but likely not very often. Revolutionary changes are rare, and incremental improvements are important.

arscan• 1 year ago

Good ones are expensive to create and turns out there isn’t that much money in it. It wasn’t clear this was the case early on when HTML5 came out and really enabled these experiences. But after you make a few and realize how much goes into creating them, and how hard it is to extract value from them, it doesn’t make that much sense.

Also, that us election needle from 2016 really turned a lot of people off of to the whole genre, I think.

yawnxyz• 1 year ago

well, Mike Bostock left to create Observable, and in its latest iteration Observable Plot https://observablehq.com/plot/ is amazing.

This makes the old data viz examples from NYT accessible to the rest of the population who aren't D3.js / canvas / svg whisperers like Mike

jrm4• 1 year ago

In this field? The answer is easy. Data, even pretty data -- maybe ESPECIALLY pretty data -- is not "information," and especially not "wisdom."

At the risk of using an odd term -- it's like -- "Data porn?"

dematz2• 1 year ago

From https://worksinprogress.co/issue/how-madrid-built-its-metro-... contrast Madrid's train stations, copy and pasted as much as possible, vs London's, where each has its own interesting and complex architecture. The article claims simple, consistent Madrid stations were easier to build. Idk if it's true or not, but it's an appealing argument that architects are interested in architectural uniqueness and complexity which adds costs.

Similarly, the data viz architect sort of assumes more complex visualizations would be helpful if the public wasn't so phone addicted and inattentive: "some data stories are just too complex and nuanced to be aggregated in bar charts and line charts. Surely, they’d be curious about more complex visualizations" ...well where's the discussion of if visualization complexity is actually good for data stories? If everyone knows how to read a bar chart and a line graph, that's a point in favor of standard copy and paste visualization.

The one case where imo fancy visualizations actually help is maps. Not only is the example of facebook friendships in 2010 cool, a world map really is the best way to show where people/connections are (ofc maybe it's just a heatmap ie https://xkcd.com/1138/ idk if they divided by how many people live there but still cool). So there are probably lots of stories a map visualization helps tell by showing where stuff is.

But yeah in general I felt like the article spoke to data viz only as art to wow data connoisseurs. There was no defense of why complex stories getting a new data format each time conveys information better than standard bar chart/line graph.

dematz2• 1 year ago

Part 1 of this post https://www.shirleywu.studio/notebook/2025-02-client-comfort... probably speaks more to why it's good to do visualizations more creative than people are used to. I still get the sense of the architect who has more interest in complexity than the client (who's both uninterested and disinterested) though.

Joel_Mckay• 1 year ago

Steve Jobs discussed "Content vs Process" years ago:

https://youtu.be/TRZAJY23xio?feature=shared&t=1770

While I didn't agree with a lot of his ideas, this one has proven true over time.

If you meant innovation in a scientific/startup context, than the reasons are as follows:

1. Space: Rent seeking economies create commodities out of physical locations used to build high risk apparatus. Even university campus space is often under synthetic scarcity.

2. Time: Proportion of bureaucratic and financial investment pressure constrain creative resources actually used to solve some challenge.

3. Resources: Competition and entrenched manufacturing capacity asymmetry. Unless one can afford to play the Patent game... people will simply steal/clone your work to fragment the market as quickly as possible. Thus, paradoxically degrading technology markets before it may mature properly through refinement.

4. Resolve: Individuals focused on racketeering and tying as a business model generally case harm to the entire industry through naive attempts at a monopoly.

5. Respect: Smart people do not choose to be hapless, and simply vote with their feet when their communities are not longer symbiotic.

There are shelves full of technology the public won't see for years, as there is little incentive to help rip off consumers with Robber Baron economics. This is why "we" can't have nice things... and some people are 10 years into the future. =3

nitwit005• 1 year ago

These are an innovative way to sell New York Times subscriptions, but most of us aren't making charts for interactive marketing.

These sorts of animations are cool, but my experience has been that if you have to deal with them daily, you'll want a way to turn them off. People will jam a bunch of charts with considerable data onto the page, and the animations will barely work due to the strained performance.

mncharity• 1 year ago

So what next?

LLM discussion of visualizations?

I did guerrilla usability testing around teaching scale, which included this video[1] (stop-motion animation using CO molecules). Lots of people asked "What are those ripples?". IBM even had a supplementary webpage addressing this (which I no longer see, even on archive). People could easily ask this with me standing beside them, but not so much if viewing the content online. Which raised the UI question of how to encourage such.

With LLMs, perhaps people will be able to ask questions of a visualization? What is that? Why is that? What about ...? I don't understand ... Does this mean ...?

[1] IBM's A boy and his atom https://www.youtube.com/watch?v=oSCX78-8-q0 Making of: https://www.youtube.com/watch?v=xA4QWwaweWA

tech_ken• 1 year ago

The point of data presentation is to gist the most salient trends; an interactive chart where you can zoom in to the lowest granularity of the data basically defeats the purpose of the plot in the first place. Similarly most animation in charts doesn't really add any meaningful visual data, it's just distracting. I think most consumers of data journalism got pretty bored of scrolling through some massive viz after only a few minutes, and why would they not? People read the news to have the critical points surfaced for them. They don't want to dig through the data themselves (and if they do they're not going to be satisfied with the prebuilt animation). These kinds of things are IMO more fun and interesting to build, rather than to actually try and learn something from.

Animats• 1 year ago

That was the year I realized I was experiencing scrollytelling fatigue.

She nailed it.

The people who really, really have to look at graphs of numbers all day have a Bloomberg terminal. The graphics are visually unexciting but useful.

cadamsdotcom• 1 year ago

The assumption that data visualization innovation is declining needs more evidence. Regardless the article asserts it’s true then contorts itself arguing for it.

As others have said - the “patterns” have been invented & some pretty good stuff is now out there. For example:

- https://acko.net/tv/toolsforthought/

- https://ciechanow.ski/mechanical-watch/

- https://ciechanow.ski/bicycle/

- many science & data exploration youtube channels

There’s less need to create completely new techniques after the Cambrian Explosion is over, we already have a baseline of patterns & can draw from them & it’s less work. That doesn’t look as much like innovation but has plenty of value.

Even cooler: thanks to dataviz folks past and present, plenty of visualization libraries exist, almost all are open source, and they work spectacularly well. Give your data to any reasonably new reasoning LLM; ask it something like “write some code to visualize the story that’s in this data”, and prepare to be wowed at what it can produce.

Some examples:

- https://x.com/omarsar0/status/1894164720862523651

- https://x.com/christiancooper/status/1881345352235954322

- https://reddit.com/r/ClaudeAI/comments/1ja1yal/claude_37_son...

The takeaway is be careful assuming something went away. Maybe new stuff is still happening but is a minority of the overall stuff that exists.

There’s great data viz out there, none of which has gone away & all of which can be used as a starting point without inventing from scratch. The “invention rate” declining is part of the cycle.

lmeyerov• 1 year ago

<3 Shirley

As someone who contributed to some of those waves in terms of core tech, got various niche recognitions for it, and collaborated+employed folks here, I don't think it died but continues to evolve. (The Graphistry team helped with GPU dataframe / viz movement, apache arrow, etc, and pay our bills with folks needing to answer tricky graph questions such as on linking events or people.)

Much of the shift IMO is about who & goal, and quite exciting: gen AI is unleashing a lot of old & new ideas.

Jupyter, then streamlit, got big. In parallel, ML and now AI. So less on bespoke viz on large data, often with superficial levels of analytics. Now more on ML & AI pipelines to both understand more, and in the generative era, do more. Amazingly, you don't need to be a js wunderkind either, almost anyone with a database can do it.

Nowadays as our team is launching Louie.ai (genAI notebooks, dashboards, & pipelines), it is in part using gen AI to make all our years of GPU/graph/ai tech easy for more of our users. But the best viz is no viz, and the second best is just an answer or a list, and with genAI, one you can ask questions to. So viz is not a goal but a means, and part of a broader process like investigation and automation. We are having to start over a LOT, and so it is not dead, but changed.

Funny enough, one of the last public talks I gave before starting Graphistry all those years ago was at Strangeloop (10 years ago?) where I was describing program synthesis as the future of visualization, and demoing prompt engineering with SAT-solver-era tools. However, that wasn't powerful enough back then for what BI users needed in practice, so the program synthesis leg of our vision just wasn't practical until gpt-3.5/gpt-4 came out 2 years ago. As soon as that happened, we resumed. Building louie.ai has been incredibly stimulating and exciting now that we can finally do it all!

anthk2• 1 year ago

Innovation? We didn't even exploit Atom netbooks in the same way the game developers did with the Game Boy iterations creating something astounding, such as the Cannon Fodder port for the GBC.

Make Luakit (anything WebkitGTK4) usable under a GB of RAM and some n270 CPU and then we'll talk. No, I am not talking about WebGL games or WebGL earth. Simple JS websites with text and maybe some video. Make the <video> tag playing as fast as MPV does with my custom config being able to play 720p/30FPS videos perfectly fine.

OTOH, sites from http://wiby.me and http://lite.cnn.com work extremely fast. On gopher, gopher://magical.fish it's like having a supercomputer to read news and access some services. Even gopherpedia and weather, too.

It shouldn't be that difficult. A Pentium 4 does SSE2. Atoms did SSE3. FFS, web browsing under an SSE2 machine was crazy fast and it ran older Mozilla/Gecko based browsers like butter. It was the minimum to run Retrozilla/Firefox 52, nothing fancy.

tonyhart7• 1 year ago

its more like its peaked, like there so many innovation you can add to 2d canvas

jmclnx• 1 year ago

Simple, Large Corporations paying politicians to enact restrictive laws to favor their business model. If that fails, one of the following:

* Patent lawsuits

* Trivial lawsuits

* Purchase the small company and eliminate it

* Hire the small company's employees

LatteLazy• 1 year ago

* Bribe regulators and lawmakers to make it difficult for small players to enter the market or even exist

erelong• 1 year ago

What Killed Innovation?

regulations and taxes

What Killed Innovation?

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