Early on I, like most of the tech press, framed privacy concerns of the Internet economy as "trading advertising for services."

I was slow to realize that our private info wasn't being used for advertising

... but as a way to SHAPE how we see the world.

wsj.com/articles/apple…
- THEY had internet services that could entertain, connect, & enable ME.

- I had personal information THEY could sell to companies wanting to target goods & services to a receptive audience.

Not only was it a consensual transaction, but it SEEMED as if we got the better deal.
After all, what were we REALLY trading?

Browsing patterns? Location data? Emails?

For most it was data that not only did we not care about, but we didn't know that data was being created in the first place.

That assumption was true... at first.

Then enter "Big Data."
Over a decade ago, the idea of creating actionable intelligence from the disparate data pools collected from all that "useless information" moved from the rarified air of academic research into the enterprise market.

At first, we rolled our own big data analytics using tools like Hadoop. Then vendors developed their own BDA into CRM.

Soon, companies like Salesforce, Amazon & Microsoft transformed ALL markets w/one promise:

"The data shows us what your customers WANT" Hadoop
It all SEEMED a good thing.

BDA targeted us for products/services that were relevant & that could make us more efficient.

The problem was that we didn't catch the shift from:

"selling us stuff based on our needs"

to

"selling us a worldview based on our preferences."
As it turns out, the same data sets that can tell me what kind of shampoo you like & when you are ready to buy more, can be used to tell me your political leanings, dissatisfaction w/the government, prejudices & likeliness to act on those base impulses.

It's all just data.
Add to that the ability to CHEAPLY & rapidly generate consensus though social media, & we go from Google selling ads

... to Cambridge Analytica knowing which buttons to push to create anger/fear/uncertainty that can manipulate us into doing things AGAINST our best interests.
This isn't theoretical analysis.

It's forensics.

Cambridge Analytica alone has been reported to have been involved in the manipulation of more than 200 elections around the world.

Worse than that... THEY BOASTED of their abilities to do just that.

theweek.co.uk/92390/cambridg…
Now, you'd be right to say that this sort of manipulation has been going on since the dawn of society.

We've always looked for ways to convince people to do what we want them to do.

The difference is that BDA abuse has allowed us to far more efficiently gaslight our audiences.
Usually, gaslighting fails b/c the lie only works until the group hearing the lie returns to our "shared reality."

If you told your followers that the sky is green, that lie would be proven wrong the next time they look up.
But what if you could convince your followers that, for whatever reason, they were being lied to?

What if you could convince them that you, and YOU ALONE, could be trusted?

What if you could convince them that anybody who didn't believe as they, was the enemy?
Now take it to the next level -- What if you could target individual groups WITHIN your group of followers and play on their specific insecurities?

Under the same tent you could have anarchists who don't trust the government, & pro law enforcement who also don't trust the gov.
You could have anti-vaxxers, arm-and-arm with medical professionals.

Constitutional conservatives alongside radical libertarians.

You could have those who believe in the "deep state" alongside those who treasure the institutions of governance.
With BDA, you can TARGET each of these desires and insecurities.

Not only can you efficiently gaslight your followers, but you can gaslight them into thinking that they are on the same side as those who are diametrically opposed to their worldview.
This is where BDA is now.

Give me the data, and I will target content that can radicalize.

I can promote events that will draw out the worst implulses.

I can create social networks that encourage the type or paranoia that I can control.

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More from @padresj

14 Jan
You could look at the past week & reasonably think MAGA/Q folk MUST know it's over.

But the thing about conspiracy theories is that they never end: they morph into new theories while maintaining that they've ALWAYS been right.

For MAGA/Q, it's "the plan" - Let me explain.
Right now the narrative running through the darker parts of the Internet involves "The Storm."

The Storm is a conspiracy theory that ALL of this - the election loss, the rhetoric, the insurrection, the 2nd impeachment - are part of Trump's master plan to root out the Deep State.
You see, in Trump's infinite wisdom he realized he could never MAGA as long as there were traitors in his own party.

So he came up with The Storm as a way to know who was truly a believer in MAGA, and who was a RINO.

This has all been an elaborate trap to catch those traitors.
Read 10 tweets
17 Aug 20
Not too long ago I was part of an exercise to determine how difficult it would be to identify people involved in protests w/just the metadata (including location) from the cellular network.

We had a semi-simulated data set that used real info w/swapped IDs

... It was CRAZY easy
Once we sorted the data, we could track movement patterns of the devices & see which devices were communicating & moving w/each other.

In our data set, the vast majority of devices were burners or otherwise obfuscated, but we quickly figured out which devices were daily drivers.
As it turns out, that's enough.

If you find the daily drivers (and that becomes STUPID easy if you have access to more metadata) then you have a real-ID reference point.

From there, you can spot all the devices that are moving or communicating w/the real-ID.
Read 6 tweets
3 Jul 20
There is a question I get asked quite a lot, & I'd like to address it.

There are many variations of the question - sometimes asked seriously, sometimes out of mockery - but the gist is always:

"If you're a priest, why don't you ACT like a priest?"

It's a good question.
Thing is... they're not REALLY asking,
"why don't you ACT like a priest?"

They're asking,
"why aren't you acting in the way I EXPECT a priest to act?"

... that expectation can be born from experience w/priests, or from preconceived notions of what the priesthood represents.
I know the "traditional" roles of a priest: pastor, confessor, counselor, administrator, etc. -- and those ALL important parts of the ministry of the Church.

However... if ALL priests ONLY did those things, our ministry wouldn't just be stunted... it would die on the vine.
Read 8 tweets
13 Apr 20
Ok... let's get serious about COVID inthe US.

Beyond politics, recriminations, or soapboxing - I think it's now pretty clear that COVID-19 isn't going away soon. Certainly not without a plan that risks the lives of billions across the planet.

So it's time to think long-term.
1. We're going to need some sort of universal basic income. It's no longer a fantasy option, but an absolute necessity. Too many of us (~80%) were living paycheck to paycheck w/virtually no savings.

Those people will start starving in a month.
2. The President must make full use of the DPA.

We are approaching a time at which it will be in the corporate interest to NOT produce anything b/c the price the public can bear is not profitable.

If he wants to be a "Wartime President", he needs to treat this like wartime.
Read 7 tweets
4 Apr 20
I'm going on a financial rant.
Fair warning to those who don't want more bad news about the economy.

...

There is no question that COVID-19 is wreaking havoc on the global economy, and the US in particular, but the truth is that the foundation for the meltdown started in 2017.
In Feb 2017, Trump said,

“We expect to be cutting a lot out of Dodd-Frank b/c, frankly, I have so many people, friends of mine, who have nice businesses who can’t borrow money. They just can’t get any money b/c the banks just won’t let them borrow.”

thehill.com/policy/finance…
The specific reason WHY those banks wouldn't let Trump's friends borrow money was b/c of the Dodd-Frank regulations against loaning money to companies that were already heavy in debt.

The idea was simple:
Force companies to act responsibly by not allowing them to over-leverage.
Read 13 tweets
30 Jan 20
For those who are confused by the $1.1b decision won by @Caltech against Apple & Broadcom, here's a quick primer.

There are four patents in the suit:
US7116710
US7421032
US7916781
US8284833

They get REALLY technical, but they all involve the circumvention of the "Shannon Limit"
The Shannon Limit is theorem that establishes the theoretical maximum error-free data transfer rate of a channel with a given noise-level.

In other words, given a certain amount of frequency space & transmit power, the Shannon Limit is the maximum data rate through that channel.
Think of it this way:

In a channel there is a point at which I am transmitting so much energy that the receiver gets errors & asks for retransmission, dropping throughput dramatically.

The SL defines that point so I can transmit UP TO that limit and maximize throughput.
Read 8 tweets

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