Designed/designated value


[Casa de inquietante Musica…]

Just read somewhere that Litecoin had jumped from $100 to $30.000 in one year. Bitcoin, same sort of jumps up and down all over the place. And other, less known eCurrencies will probably have the same patterns.

My question now is: Would someone know how to establish the proper value vis-à-vis ‘old’ currencies – with all their absolute sameness as described in an earlier post. Given that everything is artificial (and economically, relatively! simple) about these ‘new’ currencies, there should be some formula to determine its true ‘value’ (however expressed..!), shouldn’t it?
Yes, I know, it’s whatever the markte price would be (expressed in something as extremely flimsily, asymptotically non-, defined as the ‘dollar’ unit of value). But surely, we may construct some formula now that the underpinning elements of value can be established so much better ..?

Trial and error


[As architecture should be: Quite old, still modern..!]

Recently, this site exposed the New Year’s fireworks over Europe photo as fake.
Yes, the time zones not accounted for, the fireworks colour differences (..?), the ‘unique’ clear weather everywhere (not), fireworks in North Africa (on a different calendar) and on oil drilling rigs in the North Sea (would maybe result in fire, not -works…) are pointers indeed. To start off with. The same picture was shared last year already, too.

Handy, as next time, fraudsters will know what to edit for …

Just some Frank Lloyd Wright pics

Hey, you seem to like my old Frank Lloyd Wright pics. Here’s some more, random stuff out of 213 … can’t upload them all in one go to just a single post …
And yes I know, they’re not FW on Fallingwater Friday but hey, let me just get them to you, right ..? More to follow over the next weeks.

Or would any of you know how to upload the whole set, not manually one by one ..?

By the way, that’s not me but my dad (RIP) at Nathan Moore and the fountain.

Bias time (1 of 9)


[Check out the paleo!]

Yes, it’s bias time. As first in a series of biases that you, yes you, have. Even if you are aware of these, and even if you consciously try to correct for them to be, heh, ‘objective’, as in what e.g. auditors pursue, you will fail.
I’ll just jot them down for your reading pleasure. Additional explanation, e.g., how they would work out in your professional practice, we can discuss out of band I guess.

Decision-making and behavioral biases

  • Bandwagon effect – the tendency to do (or believe) things because many other people do (or believe) the same. Related to groupthink and herd behavior.
  • Backfire effect – the tendency for corrections to initial misinformation to increase misperception
  • Base rate fallacy – the tendency to ignore available statistical data in favor of particulars.
  • Bias blind spot – the tendency not to compensate for one’s own cognitive biases.
  • Choice-supportive bias – the tendency to remember one’s choices as better than they actually were.
  • Confirmation bias – the tendency to search for or interpret information in a way that confirms one’s preconceptions.
  • Congruence bias – the tendency to test hypotheses exclusively through direct testing, in contrast to tests of possible alternative hypotheses.
  • Contrast effect – the enhancement or diminishing of a weight or other measurement when compared with a recently observed contrasting object.
  • Déformation professionelle – The tendency to look at things according to the conventions of one’s own profession, forgetting any broader point of view
  • Denomination effect – the tendency to spend more money when it is denominated in small amounts (e.g. coins) rather than large amounts (e.g. bills).
  • Distinction bias – the tendency to view two options as more dissimilar when evaluating them simultaneously than when evaluating them separately.
  • Endowment effect – “the fact that people often demand much more to give up an object than they would be willing to pay to acquire it”.
  • Experimenter’s or Expectation bias – the tendency for experimenters to believe, certify, and publish data that agree with their expectations for the outcome of an experiment, and to disbelieve, discard, or downgrade the corresponding weightings for data that appear to conflict with those expectations.
  • Extraordinarity bias – the tendency to value an object more than others in the same category as a result of an extraordinarity of that object that does not, in itself, change the value.
  • Focusing effect – the tendency to place too much importance on one aspect of an event; causes error in accurately predicting the utility of a future outcome.
  • Framing – using an approach or description of the situation or issue that is too narrow.
  • Also framing effect – drawing different conclusions based on how data is presented.
  • Hyperbolic discounting – the tendency for people to have a stronger preference for more immediate payoffs relative to later payoffs, where the tendency increases the closer to the present both payoffs are.
  • Illusion of control – the tendency to believe that outcomes can be controlled, or at least influenced, when they clearly cannot.
  • Impact bias – the tendency to overestimate the length or the intensity of the impact of future feeling states.
  • Information bias – the tendency to seek information even when it cannot affect action.
  • Interloper effect – the tendency to value third party consultation as objective, confirming, and without motive. Also consultation paradox, the conclusion that solutions proposed by existing personnel within an organization are less likely to receive support than from those recruited for that purpose.
  • Irrational escalation – the phenomenon where people justify increased investment in a decision, based on the cumulative prior investment, despite new evidence suggesting that the decision was probably wrong.
  • Just-world phenomenon – the tendency to rationalize an inexplicable injustice by searching for things that the victim might have done to deserve it.
  • Loss aversion – “the disutility of giving up an object is greater than the utility associated with acquiring it”. (see also sunk cost effects and Endowment effect, in a later bias post).
  • Mere exposure effect – the tendency to express undue liking for things merely because of familiarity with them.
  • Money illusion – the tendency to concentrate on the nominal (face value) of money rather than its value in terms of purchasing power.
  • Moral credential effect – the tendency of a track record of non-prejudice to increase subsequent prejudice.
  • Need for Closure – the need to reach a verdict in important matters; to have an answer and to escape the feeling of doubt and uncertainty. The personal context (time or social pressure) might increase this bias.
  • Negativity bias – the tendency to pay more attention and give more weight to negative than positive experiences or other kinds of information.
  • Neglect of probability – the tendency to completely disregard probability when making a decision under uncertainty.
  • Normalcy bias – the refusal to plan for, or react to, a disaster which has never happened before.
  • Not Invented Here – the tendency to ignore that a product or solution already exists, because its source is seen as an “enemy” or as “inferior.”
  • Omission bias – the tendency to judge harmful actions as worse, or less moral, than equally harmful omissions (inactions).
  • Outcome bias – the tendency to judge a decision by its eventual outcome instead of based on the quality of the decision at the time it was made.
  • Planning fallacy – the tendency to underestimate task-completion times.
  • Post-purchase rationalization – the tendency to persuade oneself through rational argument that a purchase was a good value.
  • Pseudocertainty effect – the tendency to make risk-averse choices if the expected outcome is positive, but make risk-seeking choices to avoid negative outcomes.
  • Reactance – the urge to do the opposite of what someone wants you to do out of a need to resist a perceived attempt to constrain your freedom of choice.
  • Restraint bias – the tendency to overestimate one’s ability to show restraint in the face of temptation.
  • Selective perception – the tendency for expectations to affect perception.
  • Semmelweis reflex – the tendency to reject new evidence that contradicts an established paradigm.
  • Status quo bias – the tendency to like things to stay relatively the same (see also loss aversion, endowment effect, and system justification).
  • Von Restorff effect – the tendency for an item that “stands out like a sore thumb” to be more likely to be remembered than other items.
  • Wishful thinking – the formation of beliefs and the making of decisions according to what is pleasing to imagine instead of by appeal to evidence or rationality.
  • Zero-risk bias – preference for reducing a small risk to zero over a greater reduction in a larger risk.

Patching Things


[Quick design, not too shabby]

Errrm, how are we going to patch all the devices once they’re out there for the Internet of Things ..? We already know for sure we’ll need that, as there will be a long time of not-cheap-enough-to-replace-en-masse-ness crossed with too many out there to not care, and almost unthinkable legacy issues, etc.
So, patching we will need. But how, if the stuff isn’t designed to allow that (capacity, connectivity, security) ..?

So I outdid myself; only one day after drafting the above, this appears, with quite an overview of all the Internet of Things risks out there (already). Heartily recommended!

Mo’nay


[Prime Valencia]

Just to drop it here. May take a textbook full of source-annotated analysis, but just feel there is something in the following:

In Negri & Hardt’s Empire (of which I like parts of the analyses, not necessarily the conclusions/synthesis/solutions!), the analysis goes about Worker Production being larger than Worker pay, the rest flowing to Capital, of which a tiny part is shaved off as Capital Owner ‘pay’. The rest of the surplus seeking redeployment ‘outside’ of the system and how the outside may no longer exist.
Haven’t read on far enough, but I feel that when Capital (surplus) folds back onto itself, it creates a sort of Non-Worker Production in the form of investment in financial instruments created out of thin air for no other reason than creating ‘value’ (quod non); with money producing ever more … money, surplus.

And that’s the bubble that deflated ‘recently’, it was no longer sustainable, stretched too thin.
And that’s why ‘the 1%’ wants to keep ‘capitalism’ as is, with creation of more worker proletariat squeezing out the middle class to lower Worker pay to (literally) starvation levels, in order to keep and increase their own cut of surplus and inflate the bubble in some other direction again.

Whereas ‘we’ need not money as an end goal, but as place- and time-shifting grease against the frictions of barter. There are no markets, there’s demand, and there’s supply.
Well, more on this later.

Wired / Tired / Expired, January 2014 edition


[Classic, yet still modern on the ultra side]

Well then, as promised, the first of my Wired / Tired / Expired jargon watch overviews:

WIRED TIRED EXPIRED
In-car Glass pictures on socmed Hipster beards Movember leftovers
Just because Don’t hide your anxiety (about / , ) lack of self-sufficiency Really ..? Trying to be Wired while being very late ..?
Un-US’ing your infrastructure Revelling at Snowdon-news Forgetting about Echelon through the ages
You may try, of be ordered to, but won’t succeed. You know that, but must act as if you relly try. Isn’t that bandwagon behaviour? Through the aeons, rather; APTs have been around since Man gathered in groups
Blended economies Bottom-up networked SME utopias Wanting to destroy the 1%
Like, integrating; weaving the networks of SMEs into the fabric of Big Corp conglomerates / networks Believing the whole world will one day be only one big mesh of networks of ad-hoc cooperations of S(M)Es merrily workingtogether with forming, storming and performing, without the need for norming or (somewhat longer lasting) organisation Keep on dreaming
Books; ~ high-quality paper editions eBooks Cheapo (hardly) soft covers
The collectors’ kind, or at least pretty editions that are (and have) treasures of culture to be kept, nurtured and celebrated Come on, you download them, but at best browse through them and forget everything about them before they’re ‘undownloaded’ from under your noses… And you don’t read but They track you, as in this. Like the stacks of cheap paper with hardly a cover to speak of
Mix-‘n-Match retro (only the best) OR innovative Period retro Retro medium- to lowlights
Picking from multiple periods on the best style elements, and fitting them together in a sensible way. If nothing suitable is available, jump to actual innovation and modernity, consistently Picking from just one style period as if not just anyone can Not picking the best style elements; missing the mark of truly understanding the styles
Smart data analysis Marketing data analysis Big Data
Using what you have, to full fruition. Targeted, not trawling Thinking that you’re on par with the big boys, but don’t have a clue about all the socmed data that you don’t have Oh come on; which desert have you been lost in ..?
And, for the Dutch:
? Droog Vet
If it were known, it would immediately be Tired Outed in the general press Come on! Even your granny knows about it

OK, any suggestions for next month’s edition ..?

Maverisk / Étoiles du Nord