> a world in which investigative journalism seems to have vanished and bitter corporate rivals cooperate on everything from joint ventures to lobbying efforts
Over half of all startups fail within 5 years. In the space industry it's much much worse. Although as long as SpaceX has cash I guess they'll just keep on trucking.
My point was that hard and fast startup tactics don't guarantee success (WRT the starship project), and mostly have little to do with whether a project succeeds or fails at all.
What is the main value of link analysis? As far as cause and effect and the larger picture (especially WRT the time domain), a lot of it seems like reading signs in chicken gizzards. The more you put in, the less sense they make.
There's only so much useful information to be gleaned from this kind of geometry. Fingering out and tracing cause and effect is just about impossible.
I wish someone would come up with a half decent top-down timeline creation and analysis tool.
The way I've seen Maltego-like tools being used is in one of two modes: Documentation-mode and exploratory mode.
Documentation mode is "just" recording relationships between assets so they are readily understood and visually obvious. This can be used to break new analysts into cases and to publish reports. These also serve as good starting points to pick an investigation back up. This is arguably the "easier" mode to implement since it just requires a visual graph with different entity types.
Exploratory mode means populating the graph through "transforms" (in Maltego-lingo). Going from one node to more nodes and relationships by attempting to "pivot" from a node using a certain datasource. As an example from infrastructure analysis you'd say "here's an IP, now do a transform which creates vertices for all hostnames that point to that IP". This mode is harder to get right since there's always explosion of edges and also since it's just mind-numbing work to implement transforms for all the data-sources.
The bigger the map the better! When you have a ton of data points all mapped out Maltego has tools for you to analyze this data in amazing ways. You can sort of twist and turn the data to look at it in different ways to discover the meaning of it. Say you have a dataset of 1000 different hacks that have been attempted or conducted on your network. And you populated Maltego with tons of data. Source IP of the attacker, attack method used, port attacked on, country of origin of attack, time of day of attack, duration of attack etc etc. With Maltego you can identify patterns that you can't with other tools. Like you might see that 300 of the attacks all happened on port 337. So you can isolate just for that, then look for commonalities. Time of day? Tools used? Country of origin? In just seconds you can drill down to find some of these and start making a picture on who might be attacking you. I've used it and it's amazing for showing you graphs in ways you never thought to look which can help tremendously when doing research on certain things.
They aren't really meant for finding cause and effect, but for capturing relationships. They're basically user centered ontology tools and act like a memory of things that you've learned about that are complexly connected. They also act also tools for inductive analysis and thinking -- keep adding data points and connections and you might start to be able to find a pattern.
Some of the best tools also let you construct timelines of various types to try to induce cause and effect as well. Analyst Notebook (a competitor to Maltego) has an excellent piano-roll like timeline tool.
I saw a really cool demonstration at an old Kiwicon event.
The presenter had a tool that would find similar social graphs across multiple bulletin boards and other social sites.
Eg: You'd feed in the profile of your user-of-interest on one bulletin board, and it would map their social graph on that site, then it would search for similar profiles from the entire graph on other boards. Reconstruct the graphs on the new boards, attempting to match dissimilar accounts for the same underlying persons across sites.
I don't generally see it used for timeline creation purposes. The way I and others have used it is basically to investigate/research certain entities or organizations and pivot from different attributes related to them.
You might just be looking for a different sort of tool entirely. I don't think Maltego is a "cause and effect" type thing. It has no notion of time.
That is the what lies at the rotten heart of capitalism.
I mean, people say a lot of horseshit about what capitalism is or isn't ("I'm a capitalist because I'm for making money and profits.", etc), or creating a fake context where the only alternative is ownership by the state.
But at the end of the day it's about the worker employer relationship, period, end of story.
Please don't post unsubstantive comments, flamebait, or personal attacks. You may not owe Thiel better (though why not?) but you definitely owe this community better if you're posting here.
Sweet. Border's been shut down, but contacts within the Ovis aries antifacist underground have already informed me that measures have been put in place. Before it's safe for him to come out he will be entombed in a giant mound of sheep shit, which they assure me is electromagnetically impermeable and should stop him calling for help.
Depends. In the short term (12 months) CBT has been shown to be very effective. However, over two years it has been shown to be just as effective as doing nothing.
The problem of time turns up in multiple kinds of treatments, and I believe it has simply to do with how long the depressive episodes last. Usually by the time people seek treatment that will be at the peak of the episode. Regardless of the treatment, a couple bunch of month will pass and people find themselves getting better. I suspect most depression studies a deeply flawed because of this effect. At some point the treatment will stop working. But it's not that the treatment stopped working, it's that a new depressive episode has begun and the treatment never really did all that much in the first place.
I’ve found it effective to develop circuit breaker mechanisms. It took a while and it seems to help long term.
When I see myself slipping into a depressive episode, I circuit break it before it gets bad. Remind myself that overall life is pretty good, distract myself with work, take a break, or whatever else seems like it might help.
And most of all: dont follow the spiral. Jump out while I still can.
Ah. As someone who went through the same thing (minus the ptsd), next time you get in a bad mental spot go see a psychiatrist and tell them about the bipolar diagnosis. There are some very mild mood stabilizers out there nowadays that don't zombify you. (SSRI's can trigger manic episodes and cycling in people with bipolar, fyi).
Also just making sure you don't trying and deliberately alter your moods with caffeine, weed, or amphetamines will keep you relatively stable (even without drugs). Although if you start having a full blown episode it's worth keeping what I said above in mind.
Sorry if the advice is unwelcome. This is just what I found helpful.
People with bipolar often use caffeine, weed, or even amphetamines to deliberately trigger hypomania. Feels good, but unfortunately it also increases the frequency of depressed episodes. It's like Karma.
https://blog.12security.com/darkness-at-noon-01-waxtitan/