This looks like an excellent proposal for agreement around discussing privacy on the web.
Its fiduciary duties include:
- Duty of Protection
- Duty of Discretion
- Duty of Honesty
- Duty of Loyalty
This looks like an excellent proposal for agreement around discussing privacy on the web.
Its fiduciary duties include:
- Duty of Protection
- Duty of Discretion
- Duty of Honesty
- Duty of Loyalty
Lou’s idea was just for a server to remember the last state of a browser’s interaction with it. But that one move—a server putting a cookie inside every visiting browser—crossed a privacy threshold: a personal boundary that should have been clear from the start but was not.
Once that boundary was crossed, and the number and variety of cookies increased, a snowball started rolling, and whatever chance we had to protect our privacy behind that boundary, was lost.
The Doctor is incensed.
At this stage of the Web’s moral devolution, it is nearly impossible to think outside the cookie-based fecosystem.
A deep dive into GDPR.
Got Google Analytics on your site? You should probably read this.
I subscribe to Peter Gasston’s newsletter, The Tech Landscape. It’s good. Peter’s a smart guy with his finger on the pulse of many technologies that are beyond my ken. I recommend subscribing.
But I was very taken aback by what he wrote in issue 202. It was to do with algorithmic recommendation engines.
This week I want to take a little dump on a tweet I read. I’m not going to link to it (I’m not that person), but it basically said something like: “I’m afraid to Google something because I don’t want the algorithm to think I like it, and I’m afraid to click a link because I don’t want the algorithm to show me more like it… what a cage.”
But Peter describes ubiquitous surveillance as a feature, not a bug:
It’s observing what someone likes or does, then trying to make recommendations for more things like it—whether that’s books, TV shows, clothes, advertising, or whatever. It works on probability, so it’s going to make better guesses the more it knows you; if you like ten things of type A, then liking one thing of type B shouldn’t be enough to completely change its recommendations. The problem is, we don’t like “the algorithm” if it doesn’t work, and we don’t like it if works too well (“creepy!”). But it’s not sinister, and it’s not a cage.
He would be correct if the balance of power were tipped towards the person actively looking for recommendations. As I said in my earlier post:
Don’t get me wrong: building a profile of someone based on their actions isn’t inherently wrong. If a user taps on “like” or “favourite” or “bookmark”, they are actively telling the server to perform an update (and so those actions should be POST requests). But do you see the difference in where the power lies?
When Peter says “it’s not sinister, and it’s not a cage” that may be true for him, but that is not a shared feeling, as the original tweet demonstrates. I don’t think it’s fair to dismiss someone else’s psychological pain because you don’t think they “get it”. I’m pretty sure everyone “gets” how recommendation engines are supposed to work. That’s not the issue. Trying to provide relevant content isn’t the problem. It’s the unbelievably heavy-handed methods that make it feel like a cage.
Peter uses the metaphor of a record shop:
“The algorithm” is the best way to navigate a world of infinite choice; imagine you went to a record shop (remember them?) which had every recording ever released; how would you find new music? You’d either buy music by bands you know you already liked, or you’d take a pure gamble on something—which most of the time would be a miss. So you’d ask a store worker, and they’d recommend the music they liked—but that’s no guarantee you’d like it. A good worker would ask what type of music you like, and recommend music based on that—you might not like all the recommendations, but there’s more of a chance you’d like some. That’s just what “the algorithm” does.
But that’s not true. You don’t ask “the algorithm” for a recommendation—it foists them on you whether you want them or not. A more apt metaphor would be that you walked by a record shop once and the store worker came out and followed you down the street, into your home, and watched your every move for the rest of your life.
What Peter describes sounds great—a helpful knowledgable software agent that you ask for recommendations. But that’s not what “the algorithm” is. And that’s why it feels like a cage. That’s why it is a cage.
The original tweet was an open, honest, and vulnerable insight into what online recommendation engines feel like. That’s a valuable insight that should be taken on board, not dismissed.
And what a lack of imagination to look at an existing broken system—that doesn’t even provide good recommendations while making people afraid to click on links—and shrug and say that this is the best we can do. If this really is “is the best way to navigate a world of infinite choice” then it’s no wonder that people feel like they need to go on a digital detox and get away from their devices in order to feel normal. It’s like saying that decapitation is the best way of solving headaches.
Imagine living in a surveillance state like East Germany, and saying “Well, how else is the government supposed to make informed decisions without constantly monitoring its citizens?” I think it’s more likely that you’d feel like you’re in a cage.
Apples to oranges? Kind of. But whether it’s surveillance communism or surveillance capitalism, there’s a shared methodology at work. They’re both systems that disempower people for the supposedly greater good of amassing data. Both are built on the false premise that problems can be solved by getting more and more data. If that results in collateral damage to people’s privacy and mental health, well …it’s all for the greater good, right?
It’s fucking bullshit. I don’t want to live in that cage and I don’t want anyone else to have to live in it either. I’m going to do everything I can to tear it down.
The way most of the internet works today would be considered intolerable if translated into comprehensible real world analogs, but it endures because it is invisible.
You can try to use Facebook’s own tools to make the invisible visible but that kind of transparency isn’t allowed.
A round-up of alternatives to Google Analytics.
I’ve always liked the way that web browsers are called “user agents” in the world of web standards. It’s such a succinct summation of what browsers are for, or more accurately who browsers are for. Users.
The term makes sense when you consider that the internet is for end users. That’s not to be taken for granted. This assertion is now enshrined in the Internet Engineering Task Force’s RFC 8890—like Magna Carta for the network age. It’s also a great example of prioritisation in a design principle:
When there is a conflict between the interests of end users of the Internet and other parties, IETF decisions should favor end users.
So when a web browser—ostensibly an agent for the user—prioritises user-hostile third parties, we get upset.
Google Chrome—ostensibly an agent for the user—is running an origin trial for Federated Learning of Cohorts (FLoC). This is not a technology that serves the end user. It is a technology that serves third parties who want to target end users. The most common use case is behavioural advertising, but targetting could be applied for more nefarious purposes.
The Electronic Frontier Foundation wrote an explainer last month: Google Is Testing Its Controversial New Ad Targeting Tech in Millions of Browsers. Here’s What We Know.
Let’s back up a minute and look at why this is happening. End users are routinely targeted today (for behavioural advertising and other use cases) through third-party cookies. Some user agents like Apple’s Safari and Mozilla’s Firefox are stamping down on this, disabling third party cookies by default.
Seeing which way the wind is blowing, Google’s Chrome browser will also disable third-party cookies at some time in the future (they’re waiting to shut that barn door until the fire is good’n’raging). But Google isn’t just in the browser business. Google is also in the ad tech business. So they still want to advertisers to be able to target end users.
Yes, this is quite the cognitive dissonance: one part of the business is building a user agent while a different part of the company is working on ways of tracking end users. It’s almost as if one company shouldn’t simultaneously be the market leader in three separate industries: search, advertising, and web browsing. (Seriously though, I honestly think Google’s search engine would get better if it were split off from the parent company, and I think that Google’s web browser would also get better if it were a separate enterprise.)
Anyway, one possible way of tracking users without technically tracking individual users is to assign them to buckets, or cohorts of interest based on their browsing habits. Does that make you feel safer? Me neither.
That’s what Google is testing with the origin trial of FLoC.
If you, as an end user, don’t wish to be experimented on like this, there are a few things you can do:
That last decision is interesting. On the one hand, the origin trial is supposed to be on a small scale, hence the lack of European countries. On the other hand, the origin trial is “opt out” instead of “opt in” so that they can gather a big enough data set. Weird.
The plan is that if and when FLoC launches, websites would have to opt in to it. And when I say “plan”, I mean “best guess.”
I, for one, am filled with confidence that Google would never pull a bait-and-switch with their technologies.
In the meantime, if you’re a website owner, you have to opt your website out of the origin trial. You can do this by sending a server header. A
meta element won’t do the trick, I’m afraid.
I’ve done it for my sites, which are served using Apache. I’ve got this in my
<IfModule mod_headers.c> Header always set Permissions-Policy "interest-cohort=()" </IfModule>
If you don’t have access to your server, tough luck. But if your site runs on Wordpress, there’s a proposal to opt out of FLoC by default.
Interestingly, none of the Chrome devs that I follow are saying anything about FLoC. They’re usually quite chatty about proposals for potential standards, but I suspect that this one might be embarrassing for them. It was a similar situation with AMP. In that case, Google abused its monopoly position in search to blackmail publishers into using Google’s format. Now Google’s monopoly in advertising is compromising the integrity of its browser. In both cases, it makes it hard for Chrome devs claiming to have the web’s best interests at heart.
But one of the advantages of having a huge share of the browser market is that Chrome can just plough ahead and unilaterily implement whatever it wants even if there’s no consensus from other browser makers. So that’s what Google is doing with FLoC. But their justification for doing this doesn’t really work unless other browsers play along.
The problem is with step three. The theory is that if FLoC gives third parties what they need, then they won’t reach for fingerprinting. Even if there were any validity to that hypothesis, the only chance it has of working is if every browser joins in with FLoC. Otherwise ad tech companies are leaving money on the table. Can you seriously imagine third parties deciding that they just won’t target iPhone or iPad users any more? Remember that Safari is the only real browser on iOS so unless FLoC is implemented by Apple, third parties can’t reach those people …unless those third parties use fingerprinting instead.
Google have set up a situation where it looks like FLoC is going head-to-head with fingerprinting. But if FLoC becomes a reality, it won’t be instead of fingerprinting, it will be in addition to fingerprinting.
Google is quite right to point out that fingerprinting is A Very Bad Thing. But their concerns about fingerprinting sound very hollow when you see that Chrome is pushing ahead and implementing a raft of browser APIs that other browser makers quite rightly point out enable more fingerprinting: Battery Status, Proximity Sensor, Ambient Light Sensor and so on.
When it comes to those APIs, the message from Google is that fingerprinting is a solveable problem.
But when it comes to third party tracking, the message from Google is that fingerprinting is inevitable and so we must provide an alternative.
Which one is it?
Google’s flimsy logic for why FLoC is supposedly good for end users just doesn’t hold up. If they were honest and said that it’s to maintain the status quo of the ad tech industry, it would make much more sense.
The flaw in Google’s reasoning is the fundamental idea that tracking is necessary for advertising. That’s simply not true. Sacrificing user privacy is fundamental to behavioural advertising …but behavioural advertising is not the only kind of advertising. It isn’t even a very good kind of advertising.
FLoC seems to be Google’s way of saving a dying business. They are trying to keep targeted ads going by making them more “privacy-friendly” and “anonymous”. But behavioral profiling and targeted advertisement is not compatible with a privacy-respecting web.
What’s striking is that the very monopolies that make Google and Facebook the leaders in behavioural advertising would also make them the leaders in contextual advertising. Almost everyone uses Google’s search engine. Almost everyone uses Facebook’s social network. An advertising model based on what you’re currently looking at would keep Google and Facebook in their dominant positions.
Google made their first many billions exclusively on contextual advertising. Google now prefers to push the message that behavioral advertising based on personal data collection is superior but there is simply no trustworthy evidence to that.
I sincerely hope that Chrome will align with Safari, Firefox, Vivaldi, Brave, Edge and every other web browser. Everyone already agrees that fingerprinting is the real enemy. Imagine the combined brainpower that could be brought to bear on that problem if all browsers made user privacy a priority.
Until that day, I’m not sure that Google Chrome can be considered a user agent.
Following on from the piece they ran called Google’s FLoC Is a Terrible Idea, the EFF now have the details of the origin trial and it’s even worse than what was originally planned.
I strongly encourage you to use a privacy-preserving browser like Firefox or Safari.
My current score is one minute and 18 seconds. Can you beat it?
Privacy-invasive user tracking is to Google and Facebook what carbon emissions are to fossil fuel companies — a form of highly profitable pollution that for a very long time few people in the mainstream cared about, but now, seemingly suddenly, very many care about quite a bit.
This is a terrific approach to tackling cross-site surveillance. I’d love it to be implemented in all browsers. I can imagine Safari implementing this. Chrome …we’ll see.
Trying to predict the future is a discouraging and hazardous occupation becaue the profit invariably falls into two stools. If his predictions sounded at all reasonable, you can be quite sure that in 20 or most 50 years, the progress of science and technology has made him seem ridiculously conservative. On the other hand, if by some miracle a prophet could describe the future exactly as it was going to take place, his predictions would sound so absurd, so far-fetched, that everybody would laugh him to scorn.
But I couldn’t resist responding to a recent request for augery. Eric asked An Event Apart speakers for their predictions for the coming year. The responses have been gathered together and published, although it’s in the form of a PDF for some reason.
Here’s what I wrote:
This is probably more of a hope than a prediction, but 2021 could be the year that the ponzi scheme of online tracking and surveillance begins to crumble. People are beginning to realize that it’s far too intrusive, that it just doesn’t work most of the time, and that good ol’-fashioned contextual advertising would be better. Right now, it feels similar to the moment before the sub-prime mortgage bubble collapsed (a comparison made in Tim Hwang’s recent book, Subprime Attention Crisis). Back then people thought “Well, these big banks must know what they’re doing,” just as people have thought, “Well, Facebook and Google must know what they’re doing”…but that confidence is crumbling, exposing the shaky stack of cards that props up behavioral advertising. This doesn’t mean that online advertising is coming to an end—far from it. I think we might see a golden age of relevant, content-driven advertising. Laws like Europe’s GDPR will play a part. Apple’s recent changes to highlight privacy-violating apps will play a part. Most of all, I think that people will play a part. They will be increasingly aware that there’s nothing inevitable about tracking and surveillance and that the web works better when it respects people’s right to privacy. The sea change might not happen in 2021 but it feels like the water is beginning to swell.
Still, predicting the future is a mug’s game with as much scientific rigour as astrology, reading tea leaves, or haruspicy.
The verbs of the web are GET and POST. In theory there’s also PUT, DELETE, and PATCH but in practice POST often does those jobs.
I’m always surprised when front-end developers don’t think about these verbs (or request methods, to use the technical term). Knowing when to use GET and when to use POST is crucial to having a solid foundation for whatever you’re building on the web.
Luckily it’s not hard to know when to use each one. If the user is requesting something, use GET. If the user is changing something, use POST.
That’s why links are GET requests by default. A link “gets” a resource and delivers it to the user.
Most forms use the POST method becuase they’re changing something—creating, editing, deleting, updating.
<form method="post" action="/items/id/edit">
But not all forms should use POST. A search form should use GET.
<form method="get" action="/search"> <input type="search" name="term">
When a user performs a search, they’re still requesting a resource (a page of search results). It’s just that they need to provide some specific details for the GET request. Those details get translated into a query string appended to the URL specified in the
I sometimes see the GET method used incorrectly:
When the it was first created, the World Wide Web was stateless by design. If you requested one web page, and then subsequently requested another web page, the server had no way of knowing that the same user was making both requests. After serving up a page in response to a GET request, the server promptly forgot all about it.
The Web is named for its hyperlinked structure. In order for the web to remain vibrant, users need to be able to expect that merely visiting any given link won’t have implications for the security of their computer, or for any essential aspects of their privacy.
The expectation of safe stateless browsing has been eroded over time. Every time you click on a search result in Google, or you tap on a recommended video in YouTube, or—heaven help us—you actually click on an advertisement, you just know that you’re adding to a dossier of your online profile. That’s not how the web is supposed to work.
Don’t get me wrong: building a profile of someone based on their actions isn’t inherently wrong. If a user taps on “like” or “favourite” or “bookmark”, they are actively telling the server to perform an update (and so those actions should be POST requests). But do you see the difference in where the power lies? With POST actions—fave, rate, save—the user is in charge. With GET requests, no one is supposed to be in charge—it’s meant to be a neutral transaction. Alas, the reality of today’s web is that many GET requests give more power to the dossier-building servers at the expense of the user’s agency.
If a trade-off needs to be made, always put user needs above all.
The current abuse of GET requests is damage that the web needs to route around.
Browsers are helping to a certain extent. Most browsers have the concept of private browsing, allowing you some level of statelessness, or at least time-limited statefulness. But it’s kind of messed up that private browsing is the exception, while surveillance is the default. It should be the other way around.
Chrome has different priorities, which is understandable given that it comes from a company with a business model that is currently tied to tracking and surveillance (though it needn’t remain that way). With anti-trust proceedings rumbling in the background, there’s talk of breaking up Google to avoid monopolistic abuses of power. I honestly think it would be the best thing that could happen to Chrome if it were an independent browser that could fully focus on user needs without having to consider the surveillance needs of an advertising broker.
But we needn’t wait for the browsers to make the web a safer place for users.
Developers write the code that updates those dossiers. Developers add those oh-so-harmless-looking third-party scripts to page templates.
What if we refused?
Front-end developers in particular should be the last line of defence for users. The entire field of front-end devlopment is supposed to be predicated on the prioritisation of user needs.
And if the moral argument isn’t enough, perhaps the technical argument can get through. Tracking users based on their GET requests violates the very bedrock of the web’s architecture. Stop doing that.
This sounds a lot like Do Not Track …but looking at the spec, the interesting part is the way that this is designed to work in combination with legal frameworks. That’s smart. I don’t think a purely technical solution is workable (as we saw with Do Not Track).
Another nice alternative to Google Analytics with a focus on privacy.
If behavioural ads aren’t more effective than contextual ads, what is all of that data collected for?
If websites opted for a context ads and privacy-focused analytics approach, cookie banners could become obsolete…
See, that’s what I’m talking about;
Levy deftly conflates “advertising” and “personalized advertising”, as if there are no ways to target people planning a wedding without surveilling their web browsing behaviour. Facebook’s campaign casually ignores decades of advertising targeted based on the current webpage or video instead of who those people are because it would impact Facebook’s primary business. Most people who are reading an article about great wedding venues are probably planning a wedding, but you don’t need quite as much of the ad tech stack to make that work.
I wish more companies would realise that this is a perfectly reasonable approach to take:
We decided to look for a solution. After a brief search, we found one: just don’t use any non-essential cookies. Pretty simple, really. 🤔
So, we have removed all non-essential cookies from GitHub, and visiting our website does not send any information to third-party analytics services.
Cloudfare’s alternative to Google Analytics is now available—for free—regardless of whether your a Cloudflare customer or not:
Being privacy-first means we don’t track individual users for the purposes of serving analytics. We don’t use any client-side state (like cookies or localStorage) for analytics purposes. Cloudflare also doesn’t track users over time via their IP address, User Agent string, or any other immutable attributes for the purposes of displaying analytics — we consider “fingerprinting” even more intrusive than cookies, because users have no way to opt out.
Imagine if you were told that fossil fuels were the only way of extracting energy. It would be an absurd claim. Not only are other energy sources available—solar, wind, geothermal, nuclear—fossil fuels aren’t even the most effecient source of energy. To say that you can’t have energy without burning fossil fuels would be pitifully incorrect.
And yet when it comes to online advertising, we seem to have meekly accepted that you can’t have effective advertising without invasive tracking. But nothing could be further from the truth. Invasive tracking is to online advertising as fossil fuels are to energy production—an outmoded inefficient means of getting substandard results.
Before the onslaught of third party cookies and scripts, online advertising was contextual. If I searched for property insurance, I was likely to see an advertisement for property insurance. If I was reading an article about pet food, I was likely to be served an advertisement for pet food.
Simply put, contextual advertising ensured that the advertising that accompanied content could be relevant and timely. There was no big mystery about it: advertisers just needed to know what the content was about and they could serve up the appropriate advertisement. Nice and straightforward.
What if, instead of matching the advertisement to the content, we could match the advertisement to the person? Regardless of what they were searching for or reading, they’d be served advertisements that were relevant to them not just in that moment, but relevant to their lifestyles, thoughts and beliefs? Of course that would require building up dossiers of information about each person so that their profiles could be targeted and constantly updated. That’s where cross-site tracking comes in, with third-party cookies and scripts.
This is behavioural advertising. It has all but elimated contextual advertising. It has become so pervasive that online advertising and behavioural advertising have become synonymous. Contextual advertising is seen as laughably primitive compared with the clairvoyant powers of behavioural advertising.
But there’s a problem with behavioural advertising. A big problem.
It doesn’t work.
First of all, it relies on mind-reading powers by the advertising brokers—Facebook, Google, and the other middlemen of ad tech. For all the apocryphal folk tales of spooky second-guessing in online advertising, it mostly remains rubbish.
None of this works. They are still trying to sell me car insurance for my subway ride.
Have you actually paid attention to what advertisements you’re served? Maciej did:
I saw a lot of ads for GEICO, a brand of car insurance that I already own.
I saw multiple ads for Red Lobster, a seafood restaurant chain in America. Red Lobster doesn’t have any branches in San Francisco, where I live.
Finally, I saw a ton of ads for Zipcar, which is a car sharing service. These really pissed me off, not because I have a problem with Zipcar, but because they showed me the algorithm wasn’t even trying. It’s one thing to get the targeting wrong, but the ad engine can’t even decide if I have a car or not! You just showed me five ads for car insurance.
And yet in the twisted logic of ad tech, all of this would be seen as evidence that they need to gather even more data with even more invasive tracking and surveillance.
It turns out that bizarre logic is at the very heart of behavioural advertising. I highly recommend reading the in-depth report from The Correspondent called The new dot com bubble is here: it’s called online advertising:
It’s about a market of a quarter of a trillion dollars governed by irrationality.
The benchmarks that advertising companies use – intended to measure the number of clicks, sales and downloads that occur after an ad is viewed – are fundamentally misleading. None of these benchmarks distinguish between the selection effect (clicks, purchases and downloads that are happening anyway) and the advertising effect (clicks, purchases and downloads that would not have happened without ads).
Suppose someone told you that they keep tigers out of their garden by turning on their kitchen light every evening. You might think their logic is flawed, but they’ve been turning on the kitchen light every evening for years and there hasn’t been a single tiger in the garden the whole time. That’s the logic used by ad tech companies to justify trackers.
Tracker-driven behavioural advertising is bad for users. The advertisements are irrelevant most of the time, and on the few occasions where the advertising hits the mark, it just feels creepy.
Tracker-driven behavioural advertising is bad for advertisers. They spend their hard-earned money on invasive ad tech that results in no more sales or brand recognition than if they had relied on good ol’ contextual advertising.
Tracker-driven behavioural advertising is good for the middlemen doing the tracking. Facebook and Google are two of the biggest players here. But that doesn’t mean that their business models need to be permanently anchored to surveillance. The very monopolies that make them kings of behavioural advertising—the biggest social network and the biggest search engine—would also make them titans of contextual advertising. They could pivot from an invasive behavioural model of advertising to a privacy-respecting contextual advertising model.
The incumbents will almost certainly resist changing something so fundamental. It would be like expecting an energy company to change their focus from fossil fuels to renewables. It won’t happen quickly. But I think that it may eventually happen …if we demand it.
In the meantime, we can all play our part. Just as we can do our bit for the environment at an individual level by sorting our recycling and making green choices in our day to day lives, we can all do our bit for the web too.
The least we can do is block third-party cookies. Some browsers are now doing this by default. That’s good.
Alas, because this software is labelled under ad blocking, it has led to the ludicrous situation of an ethical argument being made to allow surveillance and tracking! It goes like this: websites need advertising to survive; if you block the ads, then you are denying these sites revenue. That argument would make sense if we were talking about contextual advertising. But it makes no sense when it comes to behavioural advertising …unless you genuinely believe that online advertising has to be behavioural, which means that online advertising has to track you to be effective. Such a belief would be completely wrong. But that doesn’t stop it being widely held.
To argue that there is a moral argument against blocking trackers is ridiculous. If anything, there’s a moral argument to be made for installing anti-tracking software for yourself, your friends, and your family. Otherwise we are collectively giving up our privacy for a business model that doesn’t even work.
It’s a shame that advertisers will lose out if tracking-blocking software prevents their ads from loading. But that’s only going to happen in the case of behavioural advertising. Contextual advertising won’t be blocked. Contextual advertising is also more lightweight than behavioural advertising. Contextual advertising is far less creepy than behavioural advertising. And crucially, contextual advertising works.
That shouldn’t be a controversial claim: the idea that people would be interested in adverts that are related to the content they’re currently looking at. The greatest trick the ad tech industry has pulled is convincing the world that contextual relevance is somehow less effective than some secret algorithm fed with all our data that’s supposed to be able to practically read our minds and know us better than we know ourselves.
Y’know, if this mind-control ray really could give me timely relevant adverts, I might possibly consider paying the price with my privacy. But as it is, YouTube still hasn’t figured out that I’m not interested in Top Gear or football.
The next time someone is talking about the necessity of advertising on the web as a business model, ask for details. Do they mean contextual or behavioural advertising? They’ll probably laugh at you and say that behavioural advertising is the only thing that works. They’ll be wrong.
I know it’s hard to imagine a future without tracker-driven behavioural advertising. But there are no good business reasons for it to continue. It was once hard to imagine a future without oil or coal. But through collective action, legislation, and smart business decisions, we can make a cleaner future.