Sampling Bias #3 by Helen Hailin Zhao

Question: If you have the data of a group of entrepreneurs’ critical decisions made during the past three years and then would like to study how these decisions influence entrepreneurial outcomes. What’s the bias here?

hhzhao — 2024-09-12 00:00:24 UTC

hhzhao — 2024-09-12 00:01:05 UTC

Survivorship bias

3036343226 — 2024-09-13 11:16:03 UTC

3035638973 — 2024-09-13 11:16:06 UTC

survivorship bias, you can only do research on the companies which are still operating after making the entrepreneurial decisions

Survivorship bias

3036340652 — 2024-09-13 11:16:06 UTC

Only entrepreneurs that survive in the severe market for at least three years influence the outcome. However, those who failed in past three years are ignored.

3036341723 — 2024-09-13 11:16:07 UTC

Survivorship bias

the history data may not represent the today's situation

survivorship bias

3036342210 — 2024-09-13 11:16:09 UTC

Researchers tend to pay attention to entrepreneurs who have made successful decisions with positive outcomes.

3036345468 — 2024-09-13 11:16:09 UTC

Survivorship bias. The researcher could only include enterpreneurs who has business survived of more than three years, and somehow ignored and exclude enterpreneur that failed within three years.

In the past three years, some entrepreneurs might get help from other external factors, excluding their initial ideas.

2024-09-13 11:16:15 UTC

3036348109 — 2024-09-13 11:16:21 UTC

the past experience could be invalid at present

3036341890 — 2024-09-13 11:16:22 UTC

Survivorship bias

3036341541 — 2024-09-13 11:16:23 UTC

these enterprises cannot represent all the fair outcomes from the past three years that would influence right now

3036341280 — 2024-09-13 11:16:24 UTC

Survivorship bias. Because the data only includes decisions from entrepreneurs who are still active or successful, potentially overlooking those whose decisions led to failure or who have since exited the field.

3036341383 — 2024-09-13 11:16:25 UTC

The influence of one decision may delay to emerge

Survivorship bias

3637663 — 2024-09-13 11:16:26 UTC

Some companies might break and got into bankruptcy shorter than 3years ,the entrepreneurs don’t have the chance to share.

3036341412 — 2024-09-13 11:16:36 UTC

The bias is that I'm more willing to show that the critical decisions have influences on the company outcome. And also, the recent 3 years are more important to the outcome.

3036342337 — 2024-09-13 11:16:40 UTC

Not only critical decisions of entrepreneurs would affect the entrepreneurial outcomes. And the result of some decisions wouldn't be seen in 3 years.

3036348654 — 2024-09-13 11:16:40 UTC

Survivorship bias.

3036340406 — 2024-09-13 11:16:40 UTC

these entrepreneurs can represent the whole population.

these decisions shared by these entrepreneurs can represent entrepreneurship in all industries and at all times.

Survivorship bias

3036341955 — 2024-09-13 11:16:40 UTC

The sample only include the entrepreneurs that have owned the company for at least three years. Those who didn’t but still can be referenced are not included.

Survivorship bias

3036341058 — 2024-09-13 11:16:41 UTC

Entreprenuers may only refer to those which are successful in decision making and ignore the wrong ones.

wangsihan5600 — 2024-09-13 11:16:43 UTC

entrepreneurs have different critical decisions in different period.

3036348197 — 2024-09-13 11:16:44 UTC

There behavior might overwhelming in different business cycle

2024-09-13 11:16:46 UTC

survivorship bias

only concentrated on the data of theee years but not the other years where entrepreneurial decision are being made

3036342557 — 2024-09-13 11:16:47 UTC

Survivorship bias.The group of entrepreneurs you have data on may not be representative of all entrepreneurs. If the sample is biased towards a specific demographic or sector, the findings may not generalize.

Survivorship bias

3036340951 — 2024-09-13 11:16:47 UTC

The data doesn't cover the entrepreneurs

which has not survived during the past three years.

3036341242 — 2024-09-13 11:16:47 UTC

The impact of certain decisions might not be immediately apparent. Studying outcomes over a short period may not capture the long-term effects of decisions made by entrepreneurs.

3036342076 — 2024-09-13 11:16:50 UTC

the time is changed, the data made three years ago may not be suitable nowadays. The company may change a lot during three years.

3036348020 — 2024-09-13 11:16:52 UTC

The data contains only the critical decisions of last three years, so the outcome may be strongly affected by the economic background instead of their own decisions.

3036342832 — 2024-09-13 11:16:53 UTC

The decisions may not the main factor which influences the outcomes.

3036341450 — 2024-09-13 11:16:54 UTC

The effects of decisions may not be immediately visible

Survivorship bias

3036340810 — 2024-09-13 11:16:55 UTC

The data may only contain those entrepreneurs who have critical decisions made, and the data is not the newest one. We should collect the latest data because the world environment is changing.

3036342090 — 2024-09-13 11:16:58 UTC

it's may not be those decisions influence the outcomes

Survivorship bias. The outcomes we see are the survived ones. The CEOs may made 1 extremely smart decision, the outcome of which eclipsed the other 99 wrong decisions.

3036340494 — 2024-09-13 11:16:58 UTC

Survivorship bias

3036342301 — 2024-09-13 11:17:01 UTC

The enterprise which can survive through three years is a typical group.

Survivorship bias

3036341668 — 2024-09-13 11:17:05 UTC

Entrepreneurs who did wrong decisions would not make the company success for three years.

3036341735 — 2024-09-13 11:17:07 UTC

These corporation cannot represent the whole market, because every day, there are corporations fail and found. The corporations in the study exist different span.

3036341199 — 2024-09-13 11:17:14 UTC

The condition in the last 3 years is different from now.

3036341101 — 2024-09-13 11:17:14 UTC

suriviorship bias

Survivorship Bias

3036342961 — 2024-09-13 11:17:15 UTC

3036342595 — 2024-09-13 11:17:18 UTC

It's survivorship bias, because only the company with the right decision can remain and be included in the study.

3036347856 — 2024-09-13 11:17:18 UTC

It may be involved in temporal bias. Because temporal bias arises when the time period chosen for study may not be representative of longer-term trends or changes that have occurred over a longer period of time.

3036341278 — 2024-09-13 11:17:27 UTC

if an entrepreneur has already fail to operate his/her company, it is difficult to collect their decisions

3036160404 — 2024-09-13 11:17:30 UTC

not all the critical decisions take effect in three years

3036340949 — 2024-09-13 11:17:33 UTC

Some critical decisions they need longer time to be influential, just focusing on the past three years might not have a representative result

3036342753 — 2024-09-13 11:17:34 UTC

The time window of the past three years may have encompassed specific economic cycles or market conditions, which may have affected the relationship between decisions and outcomes, making certain decisions appear more effective when in fact they may only have been the product of a specific time period.

3036160404 — 2024-09-13 11:17:37 UTC

not all the critical decisions take effect in three years

Survivorship bias

3036343525 — 2024-09-13 11:17:39 UTC

Only focus on the data of past three years is wrong. Because maybe the key decisions of the company are made in three years ago.

3036166745 — 2024-09-13 11:17:40 UTC

Ignore the entrepreneurs that failed in the past three years.

conniexiao14 — 2024-09-13 11:17:51 UTC

Survivorship bias

They only concentrates on the past three years timeline. But the data in the past might not be able to represent the present situation.

Survivorship bias

3036343410 — 2024-09-13 11:17:55 UTC

All these enterprises have survived the challenges and have made it to today.

3036343551 — 2024-09-13 11:18:03 UTC

The influence of certain decisions may take longer than three years to manifest in entrepreneurial outcomes, leading to underestimation of the impact of long-term strategic decisions.

3036342703 — 2024-09-13 11:18:04 UTC

Entrepreneurs tend not to expose their immature or failed ideas to public. Publication bias

3036343484 — 2024-09-13 11:18:07 UTC

The change of outcome need time. That is not up to any single decision.

Survivorship bias

2024-09-13 11:18:07 UTC

Only entrepreneurs who survived in the three years are considered. But many failed to survive in the three years.

3036341670 — 2024-09-13 11:18:09 UTC

the data we can collect only come from the entrepreneurs who survived and successed in the competing environment. so we will see their decisions always influence outcomes positivly.

3036342715 — 2024-09-13 11:18:13 UTC

Data may overrepresent successful entrepreneurs and underrepresent failures

3036348537 — 2024-09-13 11:18:18 UTC

The data only covers the critical decisions during the past three years and it’s not enough to conclude their outcomes. It’s a survivorship bias.

3036341852 — 2024-09-13 11:18:18 UTC

Many kinds of decisions have been made during these 3 years and before.

3036374689 — 2024-09-13 11:18:24 UTC

They have too big data base and not very specific information if they don’t give feed back immediately

Survivorship bias. The data will not collect the data of those people who did not success

3036341711 — 2024-09-13 11:18:24 UTC

2024-09-13 11:18:25 UTC

Survivorship bias. They only focused on the people who stay at the group for three years.

3036347624 — 2024-09-13 11:18:28 UTC

There are many factors influencing the outcome in 3 years, the decisions don’t necessarily cause such outcomes.

survivorship bias

3036342624 — 2024-09-13 11:18:31 UTC

Ignore the entrepreneurs who are less than three years into their careers. Meanwhile, there may be businesses that have gone bankrupt in the last three years.

3036343537 — 2024-09-13 11:18:33 UTC

There is survivorship bias. The researcher could only collect data from those entrepreneurs who are successful and ignore unsuccessful entrepreneurs.

3036342442 — 2024-09-13 11:18:42 UTC

Ingnored thoses entrepreneurs which are not be able to provide their actual performance, because they are bankrupted during the past 3 years.

3036341840 — 2024-09-13 11:18:43 UTC

survivorship bias

3036340705 — 2024-09-13 11:18:44 UTC

lack of long-term goal decision，many decision may take time to influent the outcome

3036347777 — 2024-09-13 11:18:44 UTC

There may be a retrospective bias, where entrepreneurs’ recall of past decisions is influenced by current knowledge and outcomes, potentially skewing the analysis of decision-making processes.

3036341979 — 2024-09-13 11:18:52 UTC

Survivorship bias.The past three years may have been a special macroeconomic period , and it may only have studied successful entrepreneurial cases

3036344189 — 2024-09-13 11:18:57 UTC

Survivorship bias. Some decisions take a long time to prove, it could be more than 3 years.

3036348848 — 2024-09-13 11:19:02 UTC

Survivorship bias：We've only seen part of this company's success

3036343927 — 2024-09-13 11:19:13 UTC

Those entrepreneurs with negative outcome may not be able to participate in the survey.

Survivorship bias. You can only detect the influence on entrepreneurial outcomes from those existing companies in three years, and there are many external indicators that can also influence the outcomes.

3036440755 — 2024-09-13 11:19:13 UTC

samples only include entrepreneurs who are still going on their business and ignore the group who failed to consist their companies.

3036159493 — 2024-09-13 11:19:15 UTC

2024-09-13 11:19:21 UTC

the research only focus on those people who alive after three years

3036342765 — 2024-09-13 11:19:30 UTC

this is survivorship bias because most decisions can't exist for 3 years.

3036341826 — 2024-09-13 11:19:30 UTC

There are so many attributions that could influence a company's operation, not just entrepreneurs' critical decisions. The fact is very complicated.

Survivorship bias

3036341424 — 2024-09-13 11:19:38 UTC

3036342167 — 2024-09-13 11:19:45 UTC

undercoverage...There is a possibility that the decisions that they have made during past three years do not have any helps with their business, the crucial decision may be made few years before and consistently influencing the entrepreneurial outcomes.

3036341371 — 2024-09-13 11:19:46 UTC

Three years is too short for study

dddaijxuan — 2024-09-13 11:20:06 UTC

Entrepreneur only share the successful decisions in the past 3 years.The time period is too short to be targeted.

survivorship bias

2024-09-13 11:20:22 UTC

three years are too long,it's too successful,the samples are survivorship bias.

survivor bias

2024-09-13 11:21:17 UTC

because three years decisions are too long,they ignore decision under3years.

3036441846 — 2024-09-13 11:21:27 UTC

the past data/ past situation cannot represent future situation.
company's survive is not only about internal decision, it also related to external factor like economy, government policy

survivor biasbecause three years decisions are too long,they ignore decision under3years

2024-09-13 11:23:19 UTC

because three years decisions are too long,they ignore decision under3years