


Discuss the scientific explanation of ddl as the primary productive force: Netizens call for large-scale model experiments
It’s the end of the year, college students are in final week, and workers are rushing to catch up on KPIs. The end of the year without deadline (ddl) is not the real end of the year...
ddl is ubiquitous in our daily life, and "ddl is the primary productive force" is a "wise saying" that people have learned through personal practice.
#However, systematic evidence on the behavioral effects of ddl is rare.
However, a study on ddl was published in the journal "Management Science" of INFORMS, one of the largest professional associations in the field of operations research and management science.
This study confirms the effectiveness of DDL through two experiments and explains why it is a powerful management tool. At the same time, research also reveals that individual responses to DDL are affected by memory and attention limitations.
Some scholars commented:
The reason why understanding different coordination methods is valuable is that they fully take into account human cognitive limitations. This is an interesting topic.
In the future, our interaction design with AI will focus on making up for the limitations of human psychology. It is obvious that current chat interfaces are imperfect because they incorrectly assume that humans can process and remember the same magnitude of contextual information as LLMs.
Netizens are also very excited, "Will setting ddl on a large model improve its performance?":
Archaeological "ddl effective" experiment
This study was jointly completed by researchers from the IZA Bonn Institute in Germany, the University of Copenhagen, Hertie College, and the University of Kaiserslautern.
They conducted two experiments at a large dental clinic, targeting patients who needed preventive check-ups. This scenario was chosen for the experiment mainly because of the following considerations:
According to doctor's orders, patients should take the initiative to contact the dentist regularly and make appointments for examinations (the frequency of examinations is relatively low), that is, people need to take the initiative to complete the task , but there is no clear execution date. This setting is particularly suitable for exploring the interaction between DDL, task performance, and memory constraints.
Specifically, the first experiment spanned 2011-2013.
The dental clinic's examination appointment notification system will send a postcard-style reminder notice to the patient according to the patient's recommended examination time interval to remind them to make an appointment for the next routine examination.
On this basis, the researchers added ddl to the reminder notification, corresponding to three treatment groups: D1 (1 week ddl), D3 (3 weeks ddl) , ND (no ddl) . Three reward levels are also set up in each treatment group: large reward (free professional tooth cleaning) , small reward (dental care package) , and no clear reward.
This forms 9 combinations of 3 ddl × 3 reward levels.
A total of 1,175 patients were tested, coming from 1,015 families, resulting in a total of 2,661 treatments. Researchers randomly assigned patients to different treatment groups in 43 batches from 2011 to 2013.
The analysis result variables are mainly the date of the patient's first contact appointment, cumulative response rate, response rate within ddl, and daily risk rate (Hazard Rate) .
In the second and third quarters of 2013, the researchers set up a second experiment in the same environment, mainly to explore whether the key findings were stable under longer DDL.
As a control, in addition to the treatments corresponding to D1, D3 and ND in the main experiment, the second experiment also included a 6-week (D6), 10-week (D10) and 12-month period. "Year-end" (EoY) ddl processing on the 31st. The prize is a dental care kit worth €10.
Other design and analysis procedures were similar to the first experiment.
The power of ddl
In the end, the researchers analyzed the experimental results. The analysis process was a bit complicated. Interested family members can view the complete paper. The "saving version" is as follows.
- Setting up DDL can significantly improve and speed up the frequency and time with which people respond to tasks.
- Relatively short ddl (1-3 weeks) not only speeds up people’s reactions , can also continue to increase the response rate by more than 10% within 100 days after ddl, continue to improve people's task completion rate for a longer period of time, which may be related to memory and attention limitations.
- Even without clear incentives, ddl has a significant impact on people's behavior. The effect of ddl itself is similar to that of high rewards.
- Before a given ddl, the risk rate decreases with the extension of ddl, which is inconsistent with theoretical predictions and may also be the effect of memory limitations. .
That is, the ddl is long, and people may forget the tasks to be completed before, resulting in a relatively low risk rate.
- Combining rewards with reasonable short-term DDL can motivate people to complete tasks early at a lower total cost, which is the most cost-effective .
- Imposing ddl on one task may have negative spillover effects on other tasks.
- In the group with a lower response rate in the no-ddl setting, the relative improvement in task performance was greater after the application of ddl.
Hot discussion among netizens
After Wharton Business School professor Ethan Mollick uncovered and shared this research, it attracted the attention of many netizens.
Some netizens said, "This echoes Parkinson's law" (work will expand to fill the time used to complete the work) :
Shorter DDLs add a sense of urgency, but also greater peace of mind, knowing there is still time to correct errors or remedy problems before the DDL comes.
Starting from research, some netizens are also interested in the long-term impact of ddl on psychology and the impact of work quality:
ddl Essentially just a time frame that sets the scope and depth of analysis that can be performed to complete the task. However, people often view the pressure of facing ddl as a punishment.
In addition, some netizens complained about ddl:
Are you sure this is not because the prisoners are used to the iron bars of the prison? I work better without ddl.
The above is the detailed content of Discuss the scientific explanation of ddl as the primary productive force: Netizens call for large-scale model experiments. For more information, please follow other related articles on the PHP Chinese website!

Harness the Power of On-Device AI: Building a Personal Chatbot CLI In the recent past, the concept of a personal AI assistant seemed like science fiction. Imagine Alex, a tech enthusiast, dreaming of a smart, local AI companion—one that doesn't rely

Their inaugural launch of AI4MH took place on April 15, 2025, and luminary Dr. Tom Insel, M.D., famed psychiatrist and neuroscientist, served as the kick-off speaker. Dr. Insel is renowned for his outstanding work in mental health research and techno

"We want to ensure that the WNBA remains a space where everyone, players, fans and corporate partners, feel safe, valued and empowered," Engelbert stated, addressing what has become one of women's sports' most damaging challenges. The anno

Introduction Python excels as a programming language, particularly in data science and generative AI. Efficient data manipulation (storage, management, and access) is crucial when dealing with large datasets. We've previously covered numbers and st

Before diving in, an important caveat: AI performance is non-deterministic and highly use-case specific. In simpler terms, Your Mileage May Vary. Don't take this (or any other) article as the final word—instead, test these models on your own scenario

Building a Standout AI/ML Portfolio: A Guide for Beginners and Professionals Creating a compelling portfolio is crucial for securing roles in artificial intelligence (AI) and machine learning (ML). This guide provides advice for building a portfolio

The result? Burnout, inefficiency, and a widening gap between detection and action. None of this should come as a shock to anyone who works in cybersecurity. The promise of agentic AI has emerged as a potential turning point, though. This new class

Immediate Impact versus Long-Term Partnership? Two weeks ago OpenAI stepped forward with a powerful short-term offer, granting U.S. and Canadian college students free access to ChatGPT Plus through the end of May 2025. This tool includes GPT‑4o, an a


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download
The most popular open source editor