The Era of Signals and Changing Power Dynamics. By Dana Edwards. Posted on Steemit. October 8, 2018.
The world we live in is rapidly changing. For instance the #MeToo era has arrived. This new era shows us that any individual in any position in society can be brought down. It proves a point that many in the blockchain community may have known instinctively which is that any individual source of authority and or power can and may be removed from that position. Some people actively choose to seek to be in these positions of power for their own reasons and then some of these people abuse their positions of power. People who seek power for the wrong reasons and then abuse it are in my opinion a risk which positions of authority bring (which blockchain technology may help reduce).
What are signals and what is signalling theory?
Social desirability bias is a popular topic in academic circles. To explain:
In social science research, social desirability bias is a type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. It can take the form of over-reporting "good behavior" or under-reporting "bad," or undesirable behavior. The tendency poses a serious problem with conducting research with self-reports, especially questionnaires. This bias interferes with the interpretation of average tendencies as well as individual differences.
People tend to want to be liked/loved. People when asked questions on a survey may feel pressured to answer the survey in a way which they think they will be viewed more favorably by others. In other words rather than answering in a manner which they truly think or feel they will assess how others might judge their response and then answer in a way which they think they will be judged more favorably.
A full video on this topic is below:
Social desirability bias is exactly why voting on platforms such as Steem will not work. When voting is public then most of the research seems to show that people will feel pressured to answer the question not in the way which they really believe or prefer but in the way which they think the whales want them to vote or prefer. In other words because on Steem the whales can reward (or punish) anyone who votes in ways which go against "political sensibilities" it is likely that social desirability bias applies particularly on DPOS style consensus platforms. If there are votes and the votes are not encrypted (secret) then we have no way to determine which votes are legitimate and which votes are the result of signalling (such as virtue signals).
For example when it was Trump vs Hillary the polls suggested Hillary would win. This is because there likely was social desirability bias which made it socially undesirable for anyone to admit they voted for Trump. As a result people who voted for Trump or who planned to vote for Trump may have said in public that they intended to vote for Hillary. Because the votes in the election are secret the people who may have seemed like loud Hillary supporters could have been secret Trump supporters in disguise.
In some of my previous posts I discuss signalling theory a bit more:
In these posts I have identified that behavior of individuals is shaped by how individuals think other individuals will think of their behaviors. This would apply to social desirability optimization which I'll label as adopting behaviors which provide the expected payoff of being rewarded with improved social desirability.
To provide clarity the definition of social desirability:
Social desirability is the tendency for research participants to attempt to act in ways that make them seem desirable to other people.
In other words people want to be liked. Likeability is a word I can use to simplify the concept of social desirability for readers. In the example with the 2016 election it is clear that supporters of Trump would risk a social stigma with severe social consequences if they came out in public support. This high cost of public support is why some believed that there were secret Trump supporters who were simply afraid of "losing face". In the most simple terms a person can talk red or talk blue depending on where the social stigma is.
One of the stunning conclusions I reached in my own research on this topic is that the increasing transparency leads to "preference falsification". That is a person who is talking blue while thinking red. If all speech is public (like it is on Steem) then there is the possibility that preference falsification is taking place.
Here is a video on the topic of preference falsification:
Why is this a major problem in the blockchain community? The evolutionary trajectory of a platform relies entirely on market preferences. If censorship exists and conformist pressures hinder true preference aggregation then the developers (and the community itself) will have no way of knowing which improvements to make or which changes would best satisfy the community.
What is leadership and what is the era of signals?
Before I attempt to discuss leadership I will first explain what I think leadership means and what it is. In my opinion the community must always come first. A person who is put into a leadership position is in my opinion in what I'll term "the seat of responsibility". This is in my opinion not an enviable position to be in but someone has to be in this position. For example a person who receives a security clearance is now in a position of heavy responsibility. The information which they protect is not their secrets but the nations secrets.
Leadership in my understanding is not about "being in power" but is about serving a community. To be in a "big seat" is to be in a position of responsibility to make decisions on behalf of a community which the chosen person must represent. In other words being in positions of responsibility is entirely about service and not about power. A representative in congress is not in a position of power but in a position to serve their constituents who put them in that position to represent their interests.
In my opinion to be a good leader is to be a great listener. The leader must listen to the community to find out what the community wants and or needs. The leader must listen to the community to determine what the community thinks is right or wrong. The leader then must offer solutions or proposals or policies which satisfies the requirements of the community. What matters more than who is in the seat is the seat itself. This means the Presidency itself matters more than who is in office. The positions themselves matter more than who is in them. Long after whomever is in these positions are gone there will be these positions to be filled. Any leader in any position is replaceable by someone else if they show failure to lead (whether it be a CEO, or a President of a country, or a lead developer, or any other kind of community leader).
In my understanding it is like chess where all pieces on the board can be in various positions. We know in chess that the pawn can become any piece on the board. The point with this analogy is that individuals in my opinion are not likely to remain the source of power in society. The source of power in society is increasingly becoming the community for better or for worse. According to me, to lead is to serve and to lead effectively is to serve effectively.
To accept a responsibility to serve (to lead) it is required to seek feedback from all whom the community servant represents. This does not require voting specifically but it does require under any circumstance a mechanism by which the community can give brutally honest feedback to the system itself. When I say the system itself I do not mean the feedback must go direction to those who serve the system but that the system must have a means of collecting data, analyzing data, and then informing those who can improve the system on which changes best would satisfy the needs of the community.
In my opinion this is a very data driven process. I do not think leaders can for example process big data using their brain power. This will require that they harness the power of machines (machine intelligence). There is also risk if all the processing is done by one company (such as Google) just as there is risk if all people rely on Facebook for the news and opinions. We can see that Facebook has the ability right or wrong to shape elections by deforming the news feed or by allowing certain fake profiles to interact on the site. We see that Facebook can ban crypto ads at will for example to enforce certain policies without taking any kind of poll from the community or the users for instance. We simply do not see any poll data from the users which indicated that the users were tired of seeing crypto ads.
Summary of thoughts on leadership:
Augmenting the wisdom of the community as a means of better governance
In a world where the community must decide what to do we have a situation where responsibility is increasingly diffuse. This means while it is true that the signature may come from the face of the community (if it is a human face) it is still the community which has to be capable of wisdom. The problem is most communities in the world do not become wiser as more join the community. A bigger community doesn't produce better policies by merely voting together. The problem is while most people have opinions it does not mean opinions are well informed or scientific or wise. The lack of wisdom in a community results in horrible (harmful) policies, over reactions, systemic bias, and more.
The conclusion I have reached so far is that in order to have better governance in an era where the community is the government it is a requirement that the community be wise. It's not enough to simply give the community unlimited power to shape the future without providing any capacity for the community to be wise or to do research or to solve problems. Voting in the sense we see in elections does not involve informed voters. Information supplied to voters is almost always sub par and voters are expected to trust "opinion leaders" and "opinion shapers" who tell them how to vote and why. Often disinformation shapes elections more than scientific evidence, facts, math, or reason.
As we build blockchain technology I think it is critical that we put great emphasis on data analytics. Data analytics will allow our leaders to make better decisions on our behalf. Blockchain technology will have to rely on data analytics to figure out potential wants and needs of it's participants, users, e-citizens, etc. At the same time private communication will be a necessity even if just to conduct surveys. The reason is people will not necessarily provide their real opinion in a survey which is completely transparent. The only solution I could find to the problem of preference falsification is privacy.
Most important of all is those who are put into positions of leadership are in trusted positions. This includes people who are moderators at forums, people who are lead developers, people who run exchanges. People who are in these positions have the responsibility to serve the blockchain community to the best of their ability. The abuse of these positions for personal power or personal gain is a violation of this trust and in these instances the community can and should select someone else for that position.
Bulbulia, J., & Sosis, R. (2011). Signalling theory and the evolution of religious cooperation. Religion, 41(3), 363-388.
Davis, W. L. (2004). Preference falsification in the economics profession. Econ Journal Watch, 1(2), 359.
Frank, R. H. (1996). The Political Economy of Preference Falsification: Timur Kuran's Private Truths, Public Lies. Journal of Economic Literature, 34(1), 115-123.
Grimm, P. (2010). Social desirability bias. Wiley international encyclopedia of marketing.
Sîrbu, A., Loreto, V., Servedio, V. D., & Tria, F. (2017). Opinion dynamics: models, extensions and external effects. In Participatory Sensing, Opinions and Collective Awareness (pp. 363-401). Springer, Cham.
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Suggested readings to better understand the Tau ecosystem, Tau Meta Language, Tau-Chain and Agoras, and collaborate in the development of the project.
Lecturas sugeridas para entender mejor el ecosistema Tau, Tau Meta Lenguaje, Tau-Chain y Agoras, y colaborar en el desarrollo del proyecto.